Integration of Combined Heat and Power With Renewables and Energy Storage for Reducing Carbon Emission in Transition Pathway Toward Carbon Neutrality
| dc.contributor.author | Mansour Zenouzi | |
| dc.contributor.author | Yasin Naman | |
| dc.contributor.author | Gregory J. Kowalski | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:18:51Z | |
| dc.date.available | 2026-03-22T15:18:51Z | |
| dc.date.issued | 2024 | |
| dc.description | Citaciones: 3 | |
| dc.description.abstract | Abstract Strong synergies exist between cogeneration and renewables for reducing emission of harmful gases in the transition period toward carbon neutrality. Integration of combined heat and power (CHP) with renewables and energy storage along with electrification of buildings is a pathway to create resilient and efficient solutions towards decarbonization. Optimizing the size of a CHP system to satisfy both electrical and thermal loads of a given facility while minimizing fuel consumption is a challenging problem. The thermal load consists of heating, cooling, or hot water production. Integration of renewable energy sources and energy storage presents additional design challenges. An interactive software was developed by the authors to quickly estimate the performance of different configurations of CHP and renewable energy sources and it was tested for an office complex of four commercial buildings found in National Renewable Energy Laboratory's dataset End-Use Load Profiles for the U.S. Building Stock. The software is intended to size CHP devices and calculate the Energy Utilization Factor (EUF), CO2 emissions, and the rate of Entropy Production. A heat pump module and solar photovoltaic with electrical power storage were introduced for this study. The objective of this paper is to compare different configurations of renewable or low-emission technologies and design an appropriate solution for a test data set for a Typical Metrological Year (TMY). The software requires energy inputs separated by cooling load, heating load, and electric demand as a time series and is used to optimize the plant size to match all the loads to the corresponding systems. | |
| dc.identifier.doi | 10.1115/1.4066109 | |
| dc.identifier.uri | https://doi.org/10.1115/1.4066109 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/51642 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Journal of energy resources technology. | |
| dc.source | Wentworth Institute of Technology | |
| dc.subject | Renewable energy | |
| dc.subject | Process engineering | |
| dc.subject | Photovoltaic system | |
| dc.subject | Energy storage | |
| dc.subject | Thermal energy storage | |
| dc.subject | Cogeneration | |
| dc.subject | Electrification | |
| dc.subject | Environmental science | |
| dc.subject | Engineering | |
| dc.subject | Automotive engineering | |
| dc.title | Integration of Combined Heat and Power With Renewables and Energy Storage for Reducing Carbon Emission in Transition Pathway Toward Carbon Neutrality | |
| dc.type | article |