| HOOMAN FARZANEH | Last modified date：2024.03.08 |
Associate Professor /
Department of Advanced Environmental Science and Engineering /
Faculty of Engineering Sciences
Papers
| 1. | Rudha Khudhair Mohammed and Hooman Farzaneh , Investigating the impact of the future carbon market on the profitability of carbon capture, utilization, and storage (CCUS) projects; the case of oil fields in southern Iraq, Energy Conversion and Management: X, 2024, 100562, 2024.03. |
| 2. | Mohamed Saad Suliman, Hooman Farzaneh, Eric Zusman, Alphonce Ngila Mulumba, Puji Lestar, Didin Agustian Permadi and Nandakumar Janardhanan , Quantifying the Climate Co-Benefits of Hybrid Renewable Power Generation in Indonesia: A Multi-Regional and Technological Assessment, Climate, 2024, 12(2), 23, 2024.02. |
| 3. | Kashif Sohail, Hooman Farzaneh, Wind Turbine Minimum Power Loss Optimization Using Non-linear Mathematical Programming, EcoDesign for Sustainable Products, Services and Social Systems I, 2024, 511-525, 2024.02. |
| 4. | Nabeel Ul Rehman and Hooman Farzaneh, Techno-economic analysis of a hybrid heat recovery-renewable energy system for enhancing power reliability in cement factories in Pakistan, Energy Conversion and Management: X, 2023, 100492, 2023.11. |
| 5. | Mehran Moradi , Hooman Farzaneh , and Reza Zamani , Hybrid and Decentralized Local Market Design Considering Joint Energy and Reserve Trading, IEEE Systems Journal, 1937-9234(2023), 2023.07. |
| 6. | Ladan Malehmirchegini, Mohamed Saad Suliman, Hooman Farzaneh, Region-Wise Evaluation of Price-Based Demand Response Programs In Japan's Wholesale Electricity Market Considering Microeconomic Equilibrium, iScience, 2023, 106978, 2023.07. |
| 7. | Mohamed Saad Suliman and Hooman Farzaneh, Synthesizing the market clearing mechanism based on the national power grid using hybrid of deep learning and econometric models: Evidence from the Japan Electric Power Exchange (JEPX) market, Journal of Cleaner Production, 2023, 137353, 2023.07. |
| 8. | Ladan Malehmirchegini and Hooman Farzaneh, Incentive-based demand response modeling in a day-ahead wholesale electricity market in Japan, considering the impact of customer satisfaction on social welfare and profitability, Sustainable Energy, Grids and Networks, 2023, 101044, 2023.06. |
| 9. | Alphonce Ngila Mulumba and Hooman Farzaneh, Techno-economic analysis and dynamic power simulation of a hybrid solar-wind-battery-flywheel system for off-grid power supply in remote areas in Kenya, Energy Conversion and Management: X, 1(2023), 100381, 2023.04. |
| 10. | Zifei Nie and Hooman Farzaneh, Energy-efficient lane-change motion planning for personalized autonomous driving, Applied Energy, 338, 2023, 120926, 2023.03, With the aim of realizing energy-efficient, personalized, and safe mobility, a novel lane-changing motion planning strategy for personalized energy-efficient autonomous driving is proposed in this research. The key technologies consist of trajectory planning and trajectory tracking. Taking the quintic polynomials as the general trajectory cluster generator, the overall trajectory planning is converted into a constrained optimization problem using the lane-changing duration. The feasible and safe lane-changing trajectories can be extracted from the general trajectory cluster by introducing a stable handling envelope and a safe lane-changing area considering the constraints of vehicle dynamics limitation and surrounding traffic vehicles. A driving style identification module is developed based on multi-class Gaussian process classification utilizing real driving data to determine the trajectories that can characterize personalized features. Reflecting the constraints of feasibility, safety, and personalization on the boundaries of lane-changing duration, an energy-optimal lane-changing trajectory representing a specific driving style can be found and regarded as a reference. To precisely and rapidly control the vehicle to track the reference trajectory, a real-time nonlinear model predictive controller is designed and solved utilizing the parallel method. The algorithms proposed above are integrated and Driver-in-the-Loop experimental verifications are conducted. Experiment results demonstrated that the proposed strategy is able to realize lane change with an energy saving rate of 2.87% to 5.73% compared with human drivers’ maneuver. Comparative simulation with a typical automatic lane-change model also shows the effectiveness of the proposed approach, which is capable of not only accomplishing the energy-efficient lane change but also satisfying human driver’s personalized driving preferences.. |
| 11. | Precious P. Daka and Hooman Farzaneh , Developing an Integrated Energy Demand-Supply Modeling Framework for Scenario Analysis of the Low Carbon Emission Energy System in Zambia, Applied Sciences, 2023, 13(6), 3508, 2023.03. |
| 12. | Taofeek Afolabi and Hooman Farzaneh, Optimal Design and Operation of an Off-Grid Hybrid Renewable Energy System in Nigeria’s Rural Residential Area, Using Fuzzy Logic and Optimization Techniques, Sustainability, 2023, 15(4), 3862, 2023.02. |
| 13. | Rudha Khudhair Mohammed and Hooman Farzaneh , Life Cycle Environmental Impacts Assessment of Post-Combustion Carbon Capture for Natural Gas Combined Cycle Power Plant in Iraq, Considering Grassroots and Retrofit Design, Energies, 2023, 16(3), 1545, 2023.02. |
| 14. | Tavoos Hassan Bhat, Hooman Farzaneh and Nishat Tasnim Toosty, Co-Benefit Assessment of Active Transportation in Delhi, Estimating the Willingness to Use Nonmotorized Mode and Near-Roadway-Avoided PM2.5 Exposure, International Journal of Environmental Research and Public Health, 2022, 19(22), 14974, 2022.11. |
| 15. | Etoju Jacob and Hooman Farzaneh, Dynamic modeling and experimental validation of a standalone hybrid microgrid system in Fukuoka, Japan, Energy Conversion and Management, https://doi.org/10.1016/j.enconman.2022.116462, 274, 15, 116462, 2022,274, 15, 116462, 2022.11, Microgrids are essential for creating next-generation energy systems because they allow loads, energy storage systems (ESS), and distributed energy resources (DER) to be efficiently and seamlessly integrated. This study presents the dynamic modeling and simulation of an off-grid direct current (DC) microgrid consisting of the photovoltaic (PV) panel, wind turbine, battery, and a DC load incorporating simple, comprehensible, and well-established component-based power control strategies for quality power output. In addition, the main emphasis is on the real-time experimental validation of the dynamic simulation model achieved by designing and developing an indoor test system architecture. A 48-hourly meteorological dataset from Fukuoka, Japan, was used to validate the developed model. The results show a reasonable range of Root-mean-square deviation (RMSE), suggesting that the simulation model can precisely depict the model the dynamic operation of a hybrid DC microgrid system. Furthermore, detailed scenario analysis for sunny, windy, rainy, and cloudy considering real-time meteorological conditions for 72 h of simulation reveals that the proposed microgrid system can effectively meet the load in any situation with a sufficiency factor above 1, making it a self-sustaining hybrid renewable microgrid for residential areas in Japan. The study highlights the significance of understanding microgrid operation energy management with actual implementation.. |
| 16. | Hooman Farzaneh and Adrian Bejan, Towards Zero Emission and Energy Intelligent Buildings, Special Issue, Sustainability, MDPI, ISSN 2071-1050, 2022.12, [URL]. |
| 17. | Nabeel Ul Rehman and Hooman Farzaneh, Techno-Economic Analysis of on Grid PV Power System for Vocational Training Institute in Baluchistan Pakistan to Reduce the Cost of Energy, International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 8, pp. 13 - 18, 2022-10-20. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 2022.08. |
| 18. | Yuhan, Zhaoa and Hooman Farzaneh, Maximum Power Point Tracking in Photovoltaic Systems, Using Fuzzy Logic-Based Incremental Conductance Method, International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 8, pp. 1 - 6, 2022-10-20. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 2022.10. |
| 19. | Farhana Nur Rahman and Homman Farzaneh, Low Emission Scenarios Analysis In the Urban Transportation In Dhaka, Bangladesh, International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 8, pp. 215 - 220, 2022-10-20. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 2022.10. |
| 20. | Mohamed Saad Suliman and Hooman Farzaneh, Demand Elasticity Estimation from the Japanese National Electricity Grid Considering Wholesale Market Price, International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 8, pp. 7 - 12, 2022-10-20. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 2022.10. |
| 21. | Tavoos Bhat, Hooman Farzaneh, Co-Benefits of replacing personal motorized transport with active transportation under different scenarios in Delhi, International Exchange and Innovation Conference on Engineering & Sciences , 8, pp. 311 - 316, 2022-10-20, 2022.10. |
| 22. | Ladan Malehmirchegini and Hooman Farzaneh, Demand response modeling in a day-ahead wholesale electricity market in Japan, considering the impact of customer risk aversion and dynamic price elasticity of demand, Energy Reports, https://doi.org/10.1016/j.egyr.2022.09.027, 8C (2022)11910-11926, 2022.09. |
| 23. | Tavoos Hassan Bhat, Hooman Farzaneh, Quantifying the multiple environmental, health, and economic benefits from the electrification of the Delhi public transport bus fleet, estimating a district-wise near roadway avoided PM2.5 exposure, Journal of Environmental Management, 321C (2022) 116027, 2022.09, This study investigates the co-benefits from the utilization of the battery-electric bus (BEB) fleet in the Delhi public transportation system as a part of the Delhi electric vehicles policy 2020. To this aim, an integrated quantitative assessment framework is developed to estimate the expected environmental, health, and economic co-benefits from replacing the currently existing public bus fleet with the new BEBs in Delhi. First, the model estimates the avoided emissions from deploying the BEB fleet, using a detailed battery energy simulation model, considering the impact of the battery capacity loss on the annual operational time (hours of service) of the BEB. The annual operational time of the BEB is greatly affected by its battery degradation, which results in time lost due to charging the battery. This indicates that the annual passenger-kilometer (PKM) delivered by the BEB is less than the regular bus, under the same traveling condition. Second, considering fine particles (PM2.5) as the most health-harming pollutant, the model calculates the near roadway avoided PM2.5 exposure in the selected traffic zones of 11 major districts of Delhi, using a Gaussian dispersion model. Third, the near roadway avoided PM2.5 exposure is further used in a health impact assessment model, which considers concentration-response functions for several diseases to evaluate the public health benefits from introducing the BEB fleet in Delhi. The research findings indicate that, the utilization of the new BEB fleet leads to a 74.67% reduction in the total pollutant emissions from the existing bus fleet in Delhi. The results of the integrated co-benefits assessment reveal a significant reduction in PM2.5 emissions (44 t/y), leading to avoidance of mortality (1370 cases) and respiratory diseases related hospital admissions (2808 cases), respectively, and an annual savings of about USD 383 million from the avoided mortality and morbidity cases in Delhi.. |
| 24. | Mohamed Saad Suliman and Hooman Farzaneh, Econometric analysis of pricing and energy policy regulations in Japan electric power exchange spot market, Cleaner Engineering and Technology, 2022, 100523, 2022.06. |
| 25. | Hooman Farzaneh , Mehrnoosh Dashti , Eric Zusman , So-Young Lee Damdin Dagvadorj and Zifei Nie, Assessing the Environmental-Health-Economic Co-Benefits from Solar Electricity and Thermal Heating in Ulaanbaatar, Mongolia, International Journal of Environmental Research and Public Health, 2022, 19(11), 6931, 2022.06, This article quantifies the environmental, health, and economic co-benefits from the use of solar electricity and heat generation in the Ger area (a sub-district of traditional residences and private houses) in Ulaanbaatar (UB), Mongolia. The quantification of the featured co-benefits is based on calculating emissions reductions from the installation of the solar photovoltaic (PV) and solar water heaters. A user-friendly spreadsheet tool is developed to shed much-needed light on the steps involved in estimating these co-benefits. The tool simulates the hourly electricity and thermal energy generation, taking into account local meteorological conditions, local geographical data, and technical specifications of the solar power and heat generation systems. The tool is then employed to evaluate two intervention scenarios: (1) Installing 100 MW solar electricity, including both rooftop PV and community grids, to reduce the peak-load burden on the grid; (2) Providing solar thermal heaters for 20,000 households to replace the heating load demand from the existing heat only boilers (HOBs) in UB. The modelling results reveal a significant reduction in GHG emissions and fine particulate matter (PM2.5) (PM that is 2.5 microns or less in diameter) by 311,000 tons and 767 tons, respectively, as well as nearly 6500 disability-adjusted life years (DALYs) and an annual saving of USD 7.7 million for the local economy. The article concludes that the mainstreaming spreadsheet-based estimation tools like the one used in this article into decision-making processes can fill important research gaps (e.g., usability of assessment tools) and help translate co-benefits analyses into action in Mongolia and beyond.. |
| 26. | Kashif Sohail and Hooman Farzaneh, Model for Optimal Power Coefficient Tracking and Loss Reduction of the Wind Turbine Systems, Energies, 2022, 15(11), 4159, 2022.06. |
| 27. | Jiawen Guo,Huijuan Dong, Hooman Farzaneh, Yong Geng, Carly L.Reddington, Uncovering the overcapacity feature of China's industry and the environmental & health co-benefits from de-capacity, Journal of Environmental Management, 308(2022)114645, 2022.04, Overcapacity is regarded as an inevitable problem for rapid economic developing countries like China, which also causes serious adverse impacts on the environment and public health. However, few studies have quantified the overcapacity feature and corresponding co-benefit from de-capacity policy. To fill such research gaps, this study constructed a comprehensive assessment model by combining the Data Envelopment Analysis (DEA) model, the GAINS-China (Greenhouse gas - Air pollution Interactions and Synergies) model, and a meta-analysis and health impact assessment module, to measure the capacity utilization rate of 41 industrial sectors in 31 Chinese provinces and forecast the environmental and health co-benefits from de-capacity policy in 2050. Results showed that the capacity utilization rate of China's industry is 64.13% in 2018, which is much lower than the threshold value of 75%, indicating serious overcapacity in China's industry. Capacity utilization rates of light industries are higher (around 70%) than heavy industries (50%–60%), and the capacity utilization rate in East and South-Central China is higher (70%–96%) than West China (below 40%). Under a de-capacity scenario in 2050, China's CO2 and PM2.5 emissions are reduced by 1.05 billion tons (9.6%) and 57.8 kilotons (5.8%), respectively. This reduction in PM2.5 emissions results in a substantial health co-benefit, reducing national premature mortality cases by approximately 792,100 (1.6%). Finally, it is recommended that de-capacity priority be given to industries with low capacity utilization rate, as well as regions with intensive heavy industry or high levels of greenhouse gas emissions, severe air pollution, and dense population.. |
| 28. | Ayas Shaqour, Tetsushi Ono, Aya Hagishima, Hooman Farzaneh, Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building, Energy and AI, 2022,8, 100141, 2022.05, Modern power grids face the challenge of increasing renewable energy penetration that is stochastic in nature and calls for accurate demand predictions to provide the optimized power supply. Hence, increasing the self-consumption of renewable energy through demand response in households, local communities, and micro-grids is essential and calls for high demand prediction performance at lower levels of demand aggregations to achieve optimal performance. Although many of the recent studies have investigated both macro and micro scale short-term load forecasting (STLF), a comprehensive investigation on the effects of electrical demand aggregation size on STLF is minimal, especially with large sample sizes, where it is essential for optimal sizing of residential micro-grids, demand response markets, and virtual power plants. Hence, this study comprehensively investigates STLF of five aggregation levels (3, 10, 30, 100, and 479) based on a dataset of 479 residential dwellings in Osaka, Japan, with a sample size of (159, 47, 15, 4, and 1) per level, respectively, and investigates the underlying challenges in lower aggregation forecasting. Five deep learning (DL) methods are utilized for STLF and fine-tuned with extensive methodological sensitivity analysis and a variation of early stopping, where a detailed comparative analysis is developed. The test results reveal that a MAPE of (2.47–3.31%) close to country levels can be achieved on the highest aggregation, and below 10% can be sustained at 30 aggregated dwellings. Furthermore, the deep neural network (DNN) achieved the highest performance, followed by the Bi-directional Gated recurrent unit with fully connected layers (Bi-GRU-FCL), which had close to 15% faster training time and 40% fewer learnable parameters.. |
| 29. | Zifei Nie and Hooman Farzaneh, Real-time dynamic predictive cruise control for enhancing eco-driving of electric vehicles, considering traffic constraints and signal phase and timing (SPaT) information, using artificial-neural-network-based energy consumption model, Energy, 241, 2022, 122888, 2022.01, This paper proposes a real-time dynamic predictive cruise control (PCC) system to minimize the energy consumption for electric vehicles (EVs) under integrated traffic situations with synthetic driving scenarios, considering both constraints from the preceding vehicle and the influence of traffic signal lights. The proposed PCC system is working based on the bi-level model predictive control (MPC) algorithm. The Signal Phase and Timing (SPaT)-oriented MPC calculates a desired acceleration command as the optimal control signal at each sampling step based on the forthcoming SPaT information with the purpose of passing the nearest signalized intersection during the green light interval without stop. The car-following-oriented MPC executes preceding vehicle tracking task through maintaining a safe inter-distance using a customized variable time headway (VTH) strategy. The instantaneous energy consumption for EV in different traffic scenarios was quantified by a data-driven model. The developed system was validated through comparison with IDM and human driver's maneuver in both suburban and urban areas road in the city of Fukuoka, Japan, during off-peak and peak hours, using the real traffic system and SPaT data. To further evaluate the performance of the proposed PCC system in high speed driving situation, another case study with transitions from highway to urban road was conducted. The simulative results showed that the proposed PCC system can realize the energy-saving rates by 8.5%–15.6%. And it was working well and robustly under high speed driving situation.. |
| 30. | Zifei Nie and Hooman Farzaneh, Role of Model Predictive Control for Enhancing Eco-Driving of Electric Vehicles in Urban Transport System of Japan, Sustainability, 2021, 13(16), 9173, 2021.08. |
| 31. | Ayas Shaqour, Hooman Farzaneh and Huthaifa Almogdady , Day-Ahead Residential Electricity Demand Response Model Based on Deep Neural Networks for Peak Demand Reduction in the Jordanian Power Sector, Applied Sciences, 2021,11(14), 6626, 2021.07. |
| 32. | Sajid Abrar and Hooman Farzaneh, Scenario Analysis of the Low Emission Energy System in Pakistan Using Integrated Energy Demand-Supply Modeling Approach, Energies, 2021, 14(11), 3303, 2021.06, Pakistan’s dependence on energy imports, inefficient power generation and distribution, and lack of planned investment have made the country’s economy vulnerable. Low carbon and resilient climate development in Pakistan can help to ensure climate action and reduce the chronic energy deficit ailing the country’s economy, society, and environment. This study focuses on developing and applying an integrated energy supply-demand modeling framework based on a combination of microeconomics and system integration theories, which can be used to address policies that could dramatically change the future course of Pakistan toward a low emission energy system. The methodology involves medium-term forecasting of energy demand using an integration of top-down and bottom-up modeling approaches. The demand-side model is interlinked with a bottom-up technology assessment supply model. The objective of the supply-side model is to identify the optimal combination of resources and technologies, subject to satisfying technical, institutional, environmental, and economic constraints, using the cost minimization approach. The proposed integrated model is applied to enable a complete perspective to achieve overall reductions in energy consumption and generation and better analyze the effects of different scenarios on both energy demand and supply sides in Pakistan. The results revealed that, in the baseline case, the energy demand is expected to increase from 8.70 Mtoe [106.7 TWh] to 24.19 Mtoe [297.2 TWh] with an annual average growth rate of 6.60%. Increasing the share of renewable energy power generation by 2030 can help to reduce emissions by 24%, which is accompanied by a 13% increase in the total cost of power generation.. |
| 33. | Tatsuya Hinokuma, Hooman Farzaneh and Ayas Shaqour, Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan, Energies, 2021, 14(7), 1960, 2021.04, In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.. |
| 34. | Tavoos Hassan Bhat , Guo Jiawen and Hooman Farzaneh , Air Pollution Health Risk Assessment (AP-HRA), Principles and Applications, International Journal of Environmental Research and Public Health, 2021, 18(4), 1935, 2021.02, Air pollution is a major public health problem. A significant number of epidemiological studies have found a correlation between air quality and a wide variety of adverse health impacts emphasizing a considerable role of air pollution in the disease burden in the general population ranging from subclinical effects to premature death. Health risk assessment of air quality can play a key role at individual and global health promotion and disease prevention levels. The Air Pollution Health Risk Assessment (AP-HRA) forecasts the expected health effect of policies impacting air quality under the various policy, environmental and socio-economic circumstances, making it a key tool for guiding public policy decisions. This paper presents the concept of AP-HRA and offers an outline for the proper conducting of AP-HRA for different scenarios, explaining in broad terms how the health hazards of air emissions and their origins are measured and how air pollution-related impacts are quantified. In this paper, seven widely used AP-HRA tools will be deeply explored, taking into account their spatial resolution, technological factors, pollutants addressed, geographical scale, quantified health effects, method of classification, and operational characteristics. Finally, a comparative analysis of the proposed tools will be conducted, using the SWOT (strengths, weaknesses, opportunities, and threats) method.. |
| 35. | Hooman Farzaneh, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba and Precious P. Daka , Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency, Applied Sciences, 2021, 11(2), 763, 2021.01, The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings, energy consumption can be reduced through better control, improved reliability, and automation. This paper is an in-depth review of recent studies on the application of artificial intelligence (AI) technologies in smart buildings through the concept of a building management system (BMS) and demand response programs (DRPs). In addition to elaborating on the principles and applications of the AI-based modeling approaches widely used in building energy use prediction, an evaluation framework is introduced and used for assessing the recent research conducted in this field and across the major AI domains, including energy, comfort, design, and maintenance. Finally, the paper includes a discussion on the open challenges and future directions of research on the application of AI in smart buildings.. |
| 36. | Kashif Sohail and Hooman Farzaneh, Wind Turbine Minimum Power Loss Optimization using Nonlinear Mathematical Programming, EcoDesign for Sustainable Products, Services and Social Systems, EcoDesign Conference 2021, N.A., 2021.05. |
| 37. | Tavoos Hassan Bhat and Hooman Farzaneh, Environmental, health, and economic co-benefits assessment of the electrification of public transport in Delhi (India), EcoDesign for Sustainable Products, Services and Social Systems, EcoDesign Conference 2021, N.A., 2021.12. |
| 38. | Ladan Malehmirchegini, Hooman Farzaneh, Modeling and Prioritizing Price–Based Demand Response Programs in The Wholesale Market in Japan, International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 7, pp. 224 - 231, 2021-10-21, 2021.10. |
| 39. | Shinji Takeshita, Hooman Farzaneh and Mehrnoosh Dashti, Life‐Cycle Assessment of the Wastewater Treatment Technologies in Indonesia’s Fish‐Processing Industry, Energies, 2020, 13, 6591, 2020.12. |
| 40. | Yuichiro Yoshida, Nagashima Keisuke, Hooman Farzaneh, Optimal Design and Operation of a Residential Hybrid Microgrid System in Kasuga City, EcoDesign and Sustainability II , (2021), 499-512, 2021.01. |
| 41. | Naoto Takatsu and Hooman Farzaneh, Techno-Economic Analysis of a Hybrid Solar-Hydrogen-Biomass System for Off-Grid Power Supply, EcoDesign and Sustainability II, (2021),483-497, 2021.01. |
| 42. | Adriana Gomez-Sanabria, Eric Zusman, Lena Hoglund-Isaksson, Zbigniew Klimont, So-Young Lee, Kaoru Akahoshi, Hooman Farzaneh, Chairunnisa, Sustainable wastewater management in Indonesia's fish processing industry: Bringing governance into scenario analysis, Journal of Environmental Management , https://doi.org/10.1016/j.jenvman.2020.111241, 2020, 2020.09, The government of Indonesia has pledged to meet ambitious greenhouse gas mitigation goals in its Nationally Determined Contribution as well as reduce water pollution through its water management policies. A set of technologies could conceivably help achieving these goals simultaneously. However, the installation and widespread application of these technologies will require knowledge on how governance affects the implementation of existing policies as well as cooperation across sectors, administrative levels, and stakeholders. This paper integrates key governance variables--involving enforcement capacity, institutional coordination and multi-actor networks--into an analysis of the potential impacts on greenhouse gases and chemical oxygen demand in seven wastewater treatment scenarios for the fish processing industry in Indonesia. The analysis demonstrates that there is an increase of 24% in both CH4 and CO2 emissions between 2015 and 2030 in the business-as-usual scenario due to growth in production volumes. Interestingly, in scenarios focusing only on strengthening capacities to enforce national water policies, expected total greenhouse gas emissions are about five times higher than in the business-as-usual in 2030; this is due to growth in CH4 emissions during the handling and landfilling of sludge, as well as in CO2 generated from the electricity required for wastewater treatment. In the scenarios where there is significant cooperation across sectors, administrative levels, and stakeholders to integrate climate and water goals, both estimated chemical oxygen demand and CH4 emissions are considerably lower than in the business-as-usual and the national water policy scenarios.. |
| 43. | Zifei Nie and Hooman Farzaneh, Adaptive Cruise Control for Eco-Driving Based on Model Predictive Control Algorithm, Applied Sciences, 2020, 10(15), 5271, 2020.07. |
| 44. | Ayas Shaqour, Hooman Farzaneh, Yuichiro Yoshida, Tatsuya Hinokuma, Power Control and Simulation of a Building Integrated Stand-Alone Hybrid PV-Wind-Battery System in Kasuga City, Japan, Energy Reports, 6 (2020), 1528-1544, 2020.06. |
| 45. | Naoto Takatsu and Hooman Farzaneh, Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture, Applied Sciences, 2020, 10(12), 4061, 2020.06. |
| 46. | Jordi Cravioto, Hideaki Ohgaki, Hang Seng Che, ChiaKwang Tan, Satoru Kobayashi, Hla Toe, Bun Long, Eth Oudaya, Nasrudin Abd Rahim, Hooman Farzeneh, The Effects of Rural Electrification on Quality of Life: A Southeast Asian Perspective, Energies, 2020, 3(10), 2410, 2020.05. |
| 47. | Yuichiro Yoshida and Hooman Farzaneh, Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan, Energies, 2020, 13(7), 1737, 2020.04. |
| 48. | Hooman Farzaneh, Quantifying and Visualising Co-benefits in Asia, Asian Co-benefits Partnership, Newsletter Vol. 17 2019, 2019.12. |
| 49. | Hooman Farzaneh and WANG Xin, Environmental and Economic Impact Assessment of the Low Emission Development Strategies (LEDS) in Shanghai, China, APN Science Bulletin, https://doi.org/10.30852/sb.2020.1006, 2020, 10 (1) 26-33, 2020.04, NATIONAL ACTION ON CLIMATE CHANGE and international negotiations are interlinked and mutually reinforcing. The international negotiations in the past years have stimulated national action, especially on Low Emission Development Strategies (LEDS) meaning development with the minimal output of emissions. This research will try to develop effective science-policy interaction to discuss the opportunities where LEDS can be used to support energy system, environmental, and economic development planning strategies in the city of Shanghai, China. In this paper, we argue that the urgency of bold and timely LEDS coupled with the social, environmental, and economic opportunities. With this in mind, we elaborate an interest-oriented approach to mobilizing multiple benefits of the Shanghai Master Plan as one of the essential LEDS in this city and argue that multiple benefits assessments can be important drivers of ambitious and effective social policy.. |
| 50. | Hooman Farzaneh, Design of a Hybrid Renewable Energy System Based on Supercritical Water Gasification of Biomass for Off-Grid Power Supply in Fukushima, Energies, 2019, 12(14), 2708, 2019.10, This paper proposes an innovative hydrogen-based hybrid renewable energy system (HRES), which can be used to provide electricity, heat, hydrogen, and water to the small community in remote areas. The HRES introduced in this study is based on the integration of solar power generation, hydrogen generation from supercritical water gasification (SCWG) of wet biomass feedstock, hydrogen generation from solar water electrolysis, and a fuel cell to convert hydrogen to electricity and heat. The wet biomass feedstock contains aqueous sludge, kitchen waste, and organic wastewater. A simulation model is designed and used to investigate the control strategy for the hydrogen and electricity management through detailed size estimation of the system to meet the load requirements of a selected household area, including ten detached houses in a subject district around the Shinchi station located in Shinchi-machi, Fukushima prefecture, Japan. As indicated by results, the proposed HRES can generate about 47.3 MWh of electricity and about 2.6 ton of hydrogen per annum, using the annual wet biomass consumption of 98 tons, with a Levelized Cost of Energy (electricity and heat) of the system at 0.38 $/kWh. The implementation of the proposed HRES in the selected residential area has GHG emissions reduction potential of about 21 tons of CO2-eq per year.. |
| 51. | Hooman Farzaneh , Jose A. Puppim de Oliveira , Benjamin McLellan and Hideaki Ohgaki, Towards a Low Emission Transport System: Evaluating the Public Health and Environmental Benefits, Energies, 2019, 12(19), 3747, 2019.12, Climate change mitigation strategies oer significant societal co-benefits such as improvement in public health, air quality, local economy, and even safety. By considering these co-benefits during the transportation planning process, local governments would be able to link their local appreciate mitigation actions into the Sustainable Development Goals (SDGs), where diverse objectives should be achieved simultaneously. This study first clarifies the co-benefits approach to climate change mitigation in the transport system, by introducing an integrated multiple-impact framework known as A-S-I (Avoid-Shift-Improve) to evaluate the co-benefits. Thereafter, it applies the quantitative modeling approach to assess public health and environmental co-benefits of the implementation of the Tehran Transportation Master Plan, “the TTMP” in the city of Tehran, Iran, which includes targeted interventions such as shifting from private vehicles to the urban transport system, improving vehicle technologies and introducing alternative fuels. The results from the application of “the TTMP” reveal a significant reduction of CO2 and other local air pollutant emissions by 12.9 and 1.4 million tons, respectively, prevention of about 10,000 mortality cases, and more than USD 35 million savings by 2030. |
| 52. | Mohd Amran Mohd Radzi, Nasrudin Abd. Rahim, Hang Seng Che, Hideaki Ohgaki, Hooman Farzaneh, Wallace Shung Hui Wong, and Lai Chean Hung, Optimal solar powered system for long houses in sarawak by using HOMER tool, ASEAN Engineering Journal, Vol 9 No 1 (2019), 2019.11. |
| 53. | Miguel Esteban, Joana Portugal-Pereira , Benjamin C. Mclellan , Jeremy Bricker , Hooman Farzaneh, Nigora Djalilova , Keiichi N. Ishihara , Hiroshi Takagi , Volker Roeber, 100% renewable energy system in Japan: Smoothening and ancillary services, Applied Energy, 224 (2018) 698-707, 2018.06, In the aftermath of the Paris Agreements, many countries around the globe have pledged to reduce the amount of greenhouse gas emissions being released into the atmosphere. To do so, it is important that the amount of renewable energy in the electricity grid increases. However, there are worries of the capacity of the grid to cope with intermittent energy sources. To assess the feasibility of a 100% renewable energy system in Japan, the authors conducted an hourly simulation of future electricity production based on wind, solar and tidal data. The system was shown to be stable, and the authors calculated the required capacity of electrical batteries that would be necessary to balance such a system.. |
| 54. | Hooman Farzaneh, Techno-economic study of an innovative PV-hydrogen-biomass system for off-grid power supply, IET Digital Library, 10.1049/cp.2018.1353, 2018.09. |
| 55. | Hooman Farzaneh, Multiple benefits assessment of the clean energy development in Asian Cities, Energy Procedia, 136 (2017 ) 8 – 13, 2017.06. |
| 56. | Hideaki Ohgaki, Hooman Farzaneh, Nasrudin Abd Rahim, HangSengChe, Mohd Amran Mohd Radzi, Wallace ShungHui Wong, Lai Chean Hung, Study on Quality of Life Change for Rural Community through Rural Electrification by Renewable Energy: Preliminary Result, ASEAN JOURNAL OF MANAGEMENT & INNOVATION, 10.14456/ajmi.2017.16, 4, 2, 1-8, 2017.06. |
| 57. | Hooman Farzaneh, Development of a Bottom-up Technology Assessment Model for Assessing the Low Carbon Energy Scenarios in the Urban System, Energy Procedia, 107, 321 – 326, 2017.06. |
| 58. | Hooman Farzaneh, Christopher N.H. Doll and Jose Antonio Puppim de Oliveira, An integrated supply-demand model for the optimization of energy flow in the urban energy system, Journal of Cleaner Production, 14 (2016); 269 – 285, 2016.06. |
| 59. | Hooman Farzaneh, Majid Fahimi, Yadollah Saboohi, Optimal power generation from low concentration coal bed methane in Iran, Journal of Energy sources, Part A: Recovery, Utilization and Environmental Effects, 38 (2016), 4; 590–596, 2016.06. |
| 60. | Hooman Farzaneh, Benjamin McLellan and Keiichi N. Ishihara, Toward a CO2 zero emissions energy system in the Middle East Region, International Journal of Green Energy, 13 (2016),7; 682–694, 2016.06. |
| 61. | Jose A. Puppim de Oliveira, Christopher N. H. Doll1, José Siri , Magali Dreyfus , Hooman Farzaneh, Anthony Capon, Urban governance and the systems approaches to health-environment co-benefits in cities, Cad. Saúde Pública, 31 (2015); 25-38, 2015.06. |
| 62. | Mehrangiz Ghazi, Majid Amidpour, Madjid Abbaspour, Hooman Farzaneh, Developing of constructal theory concept to the total site cogeneration heat and power retrofit, International Journal of Exergy, 17 (2015) , 2; 171-191, 2015.06. |
| 63. | Hooman Farzaneh, Ben, C. McLellan, Chapman, A., Miguel Esteban, Comparison of solar energy potential, policy and progress in different regions, EcoDesign 2015 , 106-113, 2015.06. |
| 64. | Hooman Farzaneh , Jose Antonio Puppim de Oliveira, Christopher N.H. Doll, Aki Suwa and Mehrnoosh Dashti, The Co-benefits of energy efficiency policies to manage the electric load in Delhi, European Conference on Sustainability, 2014.06. |
| 65. | Benjamin C. McLellan, Qi Zhang, N. Agya Utama, Hooman Farzaneh, Keiichi N. Ishihara, Analysis of Japan’s post-Fukushima energy strategy, Energy Strategy Reviews, 190-198, 2013.06. |
| 66. | Hooman Farzaneh, Keiichi N. Ishihara, Nuki Agya Utama, Benjamin Mclelan and Tetsuo Tezuka, An optimization supply model for crude oil and natural gas in the Middle East, Zero-carbon energy Kyoto 2012, Green energy and technology, 17-29, 2013.06. |
| 67. | H.A.Ozgholi, H.Ghadamian, Hooman Farzaneh, Energy efficiency improvement analysis considering environmental aspects in regard to biomass gasification PSOFC/GT Power Generation System, Procedia Environmental Sciences, 7 ( 2013 ); 831 – 841, 2013.06. |
| 68. | M.Moghadasi, H.Ghadamian, Hooman Farzaneh, CO2 capture technical analysis for gas turbine flue gases with complementary cycle assistance including nonlinear mathematical modeling, Procedia Environmental Sciences, 17 (2013); 648 – 657, 2013.06. |
| 69. | Hooman Farzaneh, I.Ghalee, M.Dashti, Simulation of a Multi-Functional Energy System for Co-generation of Steam, Power and Hydrogen in a Coke Making Plant, Procedia Environmental Sciences, 17 (2013); 711 – 718, 2013.06. |
| 70. | Nuki Agya Utama, Keiichi N. Ishihara, Tetsuo Tezuka, Hooman Farzaneh, Benjamin McLellan, Qi Zhang, Energy Demand Forecast for South East Asia Region: An Econometric Approach with Relation to the Energy Per Capita “Curve, Kyoto 2012, Green energy and technology, 31-41, 2013.06. |
| 71. | Benjamin Mclellan, Qi Zhang, Hooman Farzaneh, Agya Utama, Keiichi Ishihara, Resilience, sustainability and risk management: a focus on energy, Risk Management Challenges: Mitigate the Risk from Natural Hazards –Challenges, 3 (2012);153-182, 2012.06. |
| 72. | H.Aboalhasani, Hooman Farzaneh, Feasibility study of exergy recovery from gas wells, Iranian Journal of Energy, 1, (2012): 25-71, 2012.06. |
| 73. | Hooman Farzaneh, B.Abbasgholi, Improvement of Energy Utilization in Upstream NGL Plants through Reducing Electricity Consumption and Increasing the Fractionate Efficacy of Demethanizer Column, Iranian Journal of Energy, 3 (2012): 53-64, 2012.06. |
| 74. | A.M. Sharifi A. Emamzadeh, A. A. Hamidi, Hooma Farzaneh, M. Rastgarpour, Computer-Aided Simulation of Heat Transfer in Nanofluids, International Multiconference of Engineers and Computer Sciences , 2012.06. |
| 75. | Hooman Farzaneh, S.Miri, M.Dashti, Eco-driving model for reducing the energy consumption intensity in the urban driving cycle, SUSTAINABLE FUTURE ENERGY 2012, 2012.06. |
| 76. | A.Naghiloo, Hooman Farzaneh, H.R.Shahabi, M.K.Asadi, M.Dashti, Using a developed PM in order to optimize the production productivity in a cement factory, Journal of applied sciences and environmental management, 5 (2011), 2; 381-389, 2011.06. |
| 77. | M.H.Ghafari, Hooman Farzaneh, M.B.Shafii , Theoretical model of a flat loop heat pipe (HP) in moderate to high load conditions, International conference on sustainable energy technologies, 2011.06. |
| 78. | Hooman Farzaneh, M.Fahimi, Simulation of energy recovery system for power generation from coal bed gas of Tabas coal mine of Iran, World Renewable Energy Congress , 2011.06. |
| 79. | Hooman Farzaneh, B.Abbasgholi, Improvement of energy utilization in natural gas liquid plant through using self-refrigeration system, World Renewable Energy Congress, 2011.06. |
| 80. | Hooman Farzaneh, E.Z.Miralvand, Improvement of energy utilization in natural dehydration plant through reducing electricity and steam demand, International conference on sustainable energy technologies, 2011.06. |
| 81. | Hooman Farzaneh, Model for optimizing thermal efficiency of open indirect cycle of gas turbine based on the mathematical programming, ASME-ATI-UIT 2010 Conference on Thermal and Environmental Issues in Energy Systems, 2010.06. |
| 82. | Hooman Farzaneh, M.Dashti, Integrated modeling framework for optimizing energy demand in high energy intensive industries in Iran, IEEE International Energy Conference, 2010.06. |
| 83. | Hooman Farzaneh, Y.Saboohi, Evaluation of the optimal performance of passenger vehicle by integrated energy-environment-economic modeling, International journal of environmental science and technology, 4 (2007); 103-109, 2007.06. |
| 84. | Y.Saboohi and Hooman Farzaneh, Model for optimizing energy efficiency through controlling speed and gear ratio, Energy Efficiency Journal, 1 (2008); 37-45, 2008.06. |
| 85. | Y.Saboohi and Hooman Farzaneh, Model for developing eco-driving strategy of a passenger vehicle, Applied Energy, 86 (2009), 10; 1925-1932, 2009.06. |
| 86. | Hooman Farzaneh, Y.Saboohi, Model for energy analysis of energy flow from tank-to-wheel in a passenger vehicle, IEEE Vehicle Power and Propulsion Conference, 2006.06. |
| 87. | Hooman Farzaneh, Y.Saboohi, Software of passenger vehicle optimal work and energy recovery (POWER), Urban transport and the environment in the 21st century, 2005.06. |
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