Abstract
Deployment of distributed energy resources including combined heat and power (CHP), photovoltaics (PV), and battery storage is growing as building and campus owners seek to reduce energy costs and increase resilience to grid outages. While deployment of a single technology is widespread, integrated systems of multiple technologies are also becoming more common to provide maximum economic and resilience benefits. To accelerate deployment, decision makers require tools to evaluate the technical and economic feasibility of these integrated systems. This paper presents a framework for optimizing the size and dispatch strategy of CHP with PV and battery storage to minimize life-cycle cost of energy. The modeling methodology is presented, with a particular focus on the linearization of cost and performance metrics required for implementation in a mixed integer linear program. A case study is used to examine the technical and economic viability of integrated CHP, PV, and battery systems, compared to CHP-only or PV+battery storage systems. In the case study we show how the integrated systems can provide increased economic and resilience benefits compared to single technologies on their own. The case study presented shows the combined CHP, PV, and battery system resulted in a 7% lower life cycle cost than CHP only, and a 22% lower life cycle cost than PV+battery storage. The life cycle emissions for CHP, PV, and battery storage resulted in a 24% reduction than CHP only and a 17% increase than PV+battery storage.
Original language | American English |
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Number of pages | 16 |
State | Published - 2019 |
Event | 2019 Summer Study on Energy Efficiency in Industry - Portland, Oregon Duration: 12 Aug 2019 → 15 Aug 2019 |
Conference
Conference | 2019 Summer Study on Energy Efficiency in Industry |
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City | Portland, Oregon |
Period | 12/08/19 → 15/08/19 |
Bibliographical note
Available from ACEEE: see https://2019aceee.conferencespot.org/#/paper/event-data/f038NREL Publication Number
- NREL/CP-7A40-73983
Keywords
- CHP
- combined heat and power
- distributed energy resources
- optimization
- PV
- renewable energy
- storage