Technical Report 221, c4e-Preprint Series, Cambridge

Authors: Aravind Devanand, Iftekhar A. Karimi, and Markus Kraft

Reference: Technical Report 221, c4e-Preprint Series, Cambridge, 2019

Associated Themes:
 

• Brief overview of SMRs and its feasibility for Singapore.
• MINLP model for optimal site selection of SMRs.
• A case study on JPark Simulator.
• Model can serve as a preliminary feasibility analysis tool.

Small Modular Reactor (SMR) is a small, compact version of a conventional Nuclear Power Plant (NPP) and holds much promise for the future. Installing SMRs in a region requires a series of carefully planned steps out of which site selection is a critical one. This paper proposes a novel mathematical model for evaluating potential land sites for their suitability of hosting a modular NPP. Most existing decision making tools for NPP site selection rely on qualitative information from the experts. These tools require significant resources and therefore can only be applied to a limited number of selected sites. The proposed model is a Mixed Integer Nonlinear Programming (MINLP) formulation which considers a variety of factors like cost, cooling water availability, earthquake risk, etc. to identify best locations for the SMRs in a distributed power system. A case study based on Singapore is taken to demonstrate the capabilities of the model by finding the optimal locations of modular NPPs in Singapore. The model offers a preliminary platform for carrying out further extensive studies.

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