Abstract
The complexity of finding solutions to reach energy sustainability in the built environment poses a significant challenge. Therefore, there is interest in adequate management of the generation, conversion, storage, use and exchange of heat and electricity. The novelty of this study exists in presenting and comparing multiobjective optimizations for operational CO2 emissions and lifecycle costs (LCC) of heat and electricity prosumers in the Netherlands and Finland, with and without net-metering. The premise relies on using surplus electricity to drive heat pumps for heat export instead of exporting surplus electricity. In the Netherlands, the calculated cost optimal solutions consist of using surplus electricity to drive an air source heat pump and export heat, with CO2 emissions and ΔLCC of −41.1 kgCO2eq/(m2 a) and €−69.7/m2 (22% lower), respectively. In Finland, the heat export strategy allows a ΔLCC of €−24.5/m2 (8% lower), with CO2 emissions reduced by −32.5 kgCO2eq/(m2 a). Without net-metering, the ΔLCC of the energy system rises to €−4/m2 in the Netherlands; with net metering, the ΔLCC lowers to €−65.6/m2 in Finland. The results indicate the potential for significant economic and emission reductions in heat and electricity prosumers.
| Original language | English |
|---|---|
| Pages (from-to) | 495-508 |
| Journal | Energy Conversion and Management |
| Volume | 160 |
| DOIs | |
| Publication status | Published - 15 Mar 2018 |
| MoE publication type | A1 Journal article-refereed |
Funding
The research by the first, fourth and seventh listed author was funded by the Academy of Finland Consortium Project “Advanced Energy Matching for Zero-Energy Buildings in Future Smart Hybrid Networks”. Special thanks to ISOVER and Fortum for supplying the measured data and information about Villa ISOVER.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- COemissions
- Heat and electricity prosumers
- LCC
- Multiobjective optimization
- Renewable energy systems
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