Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel

• Published in: Applied energy Vol. 132; no. C; pp. 557 - 567
• Main Authors: Stadler, M., Groissböck, M., Cardoso, G., Marnay, C.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01-11-2014; Elsevier
• Subjects: Applied sciences; Building retrofits; Distributed energy resources; Energy; ENERGY STORAGE; ENVIRONMENTAL SCIENCES; Exact sciences and technology; GENERAL AND MISCELLANEOUS; Microgrid; Mixed integer linear programming; Strategic decision; Zero net energy buildings; Zero net energy buildings; Mixed integer linear programming; Microgrid; Strategic decision; Building retrofits; Distributed energy resources; Energy resources; Decentralized system; Buildings; Linear programming; Optimization
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2014.07.041

•We model strategic investment decisions for distributed energy resources and passive measures.•Compare the demonstrated mixed integer optimization model with other existing tools.•Describe the mathematical formulation of the tool.•Demonstrate the capabilities at an Austrian University building.•Show the trade-off between cost and CO2 reduction and report on the optimal investment decisions.
The pressuring need to reduce the import of fossil fuels as well as the need to dramatically reduce CO2 emissions in Europe motivated the European Commission (EC) to implement several regulations directed to building owners. Most of these regulations focus on increasing the number of energy efficient buildings, both new and retrofitted, since retrofits play an important role in energy efficiency. Overall, this initiative results from the realization that buildings will have a significant impact in fulfilling the 20/20/20-goals of reducing the greenhouse gas emissions by 20%, increasing energy efficiency by 20%, and increasing the share of renewables to 20%, all by 2020.
The Distributed Energy Resources Customer Adoption Model (DER-CAM) is an optimization tool used to support DER investment decisions, typically by minimizing total annual costs or CO2 emissions while providing energy services to a given building or microgrid site. This paper shows enhancements made to DER-CAM to consider building retrofit measures along with DER investment options. Specifically, building shell improvement options have been added to DER-CAM as alternative or complementary options to investments in other DER such as PV, solar thermal, combined heat and power, or energy storage. The extension of the mathematical formulation required by the new features introduced in DER-CAM is presented and the resulting model is demonstrated at an Austrian Campus building by comparing DER-CAM results with and without building shell improvement options. Strategic investment results are presented and compared to the observed investment decision at the test site. Results obtained considering building shell improvement options suggest an optimal weighted average U value of about 0.53W/(m2K) for the test site. This result is approximately 25% higher than what is currently observed in the building, suggesting that the retrofits made in 2002 were not optimal. Furthermore, the results obtained with DER-CAM illustrate the complexity of interactions between DER and passive measure options, showcasing the need for a holistic optimization approach to effectively optimize energy costs and CO2 emissions. The simultaneous optimization of building shell improvements and DER investments enables building owners to take one step further towards nearly zero energy buildings (nZEB) or nearly zero carbon emission buildings (nZCEB), and therefore support the 20/20/20 goals.