Evaluation of low-exergy heating and cooling systems and topology optimization for deep energy savings at the urban district level
| Autor: | Gregor P. Henze, Amy Allen, Kyri Baker, Gregory S. Pavlak |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Statistics::Applications Renewable Energy Sustainability and the Environment business.industry Heuristic (computer science) Computer science 020209 energy Topology optimization Energy Engineering and Power Technology Context (language use) Energy modeling 02 engineering and technology Network topology Computer Science::Computers and Society Reliability engineering Fuel Technology 020401 chemical engineering Nuclear Energy and Engineering Energy intensity 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering business Thermal energy |
| Zdroj: | Energy Conversion and Management. 222:113106 |
| ISSN: | 0196-8904 |
| Popis: | District energy systems have the potential to achieve deep energy savings by leveraging the density and diversity of loads in urban districts. However, planning and adoption of district thermal energy systems is hindered by the analytical burden and high infrastructure costs. It is hypothesized that network topology optimization would enable wider adoption of advanced (ambient temperature) district thermal energy systems, resulting in energy savings. In this study, energy modeling is used to compare the energy performance of “conventional” and “advanced” district thermal energy systems at the urban district level, and a partial exhaustive search is used to evaluate a heuristic for the topology optimization problem. For the prototypical district considered, advanced district thermal energy systems mated with low-exergy building heating and cooling systems achieved a source energy use intensity that was 49% lower than that of conventional systems. The minimal spanning tree heuristic was demonstrated to be effective for the network topology optimization problem in the context of a prototypical district, and contributes to mitigating the problem’s computational complexity. The work presented in this paper demonstrates the potential of advanced district thermal energy systems to achieve deep energy savings, and advances to addressing barriers to their adoption through topology optimization. |
| Databáze: | OpenAIRE |
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