Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80727
Title: Planning tool for polygeneration design in microgrids
Authors: Carducci, Francesco
Bartolini, Andrea
Balamurugan, Nagarajan
Romagnoli, Alessandro
Comodi, Gabriele
Keywords: Micro Grid Design
DRNTU::Engineering::Mechanical engineering
Energy Mix Optimizaion
Issue Date: 2017
Source: Carducci, F., Bartolini, A., Balamurugan, N., Romagnoli, A., & Comodi, G. (2017). Planning tool for polygeneration design in microgrids. Energy Procedia, 143, 762-766. doi:10.1016/j.egypro.2017.12.759
Series/Report no.: Energy Procedia
Abstract: This work suggests a methodology to assist the designer during the planning phase of microgrids and eco-districts. A mixed integer linear programming model is designed to mathematically describe the different energy systems and the physical relations among them. Given the different electrical/thermal demand profiles, the micro grid’s topology and a set of boundary conditions, the model can identify the optimum mix of (poly-)generation units and energy storage systems, as well as the necessary district heating/cooling infrastructure. Both economic and energetic cost functions are defined to explore the problem from different perspectives. The described tool is applied to study an actual district of the NTU campus in Singapore, comprising 5 multi-purpose buildings and a district cooling network supplied by centralized electrical chillers. The planning tool was run to assess the optimal configuration that minimizes the overall cost (initial investment and O&M); the outcome results presented a layout and a mix of energy systems different from the present one. In particular, the optimal configuration results to be a district cooling system served by a mix of electrical chiller plant, trigeneration distributed energy system and sensible cold thermal energy storage.
URI: https://hdl.handle.net/10356/80727
http://hdl.handle.net/10220/46586
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2017.12.759
Rights: © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Journal Articles

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