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Local Energy Optimization (LEO) model and input data for cost-efficient decarbonization of local energy systems by whole-system based design optimization

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posted on 2024-10-30, 07:32 authored by Rui JingRui Jing, Yue ZhouYue Zhou, Jianzhong WuJianzhong Wu

There are two files, one is an Excel file including the data inputs to the optimization model, and the other is the text file of the optimization model written as GAMS code.

In the Excel file, the 1st Sheet defines the five aggregators marked as B1~B5 and the associated aggregator names. The 2nd Sheet provides the shiftable demand at certain hours for dishwasher, laundry, and electric vehicle when modelling demand response. The unit for the values is all ‘kWh’. The 3rd Sheet provides the hourly original electricity demand (before implementing demand response) for each aggregator on each typical day. The unit for the values is all ‘kWh’. The 4th Sheet provides the hourly original heating demand (before implementing building energy retrofit) for residential buildings on each typical day. The unit for the values is all ‘kWh’. The 5th Sheet provides the hourly heating demand savings on each typical day when implementing different building energy retrofit options (i.e., k1~k3). The unit for the values is all ‘kWh’. The 6th Sheet provides the hourly energy prices for each aggregator, including the electricity purchasing price (i.e., grid_buy), electricity feed-in price (i.e., grid_sell), and natural gas for boiler price (i.e., NG_b). The unit for the values is all ‘£/kWh’. The 7th Sheet provides the hourly solar radiation index (SRI) for each typical day. The unit for the values is all ‘W/m2’. The “sprw” … “winx” in the sheets represent different typical days, where “spr”, “hot”, “sum”, “aut” and “win” represent “spring”, “hot summer”, “summer”, “autumn” and “winter”, and “w”, “n” and “t” represent “weekday”, “weekend” and “extreme day” respectively.

The text file provides the local energy optimization (LEO) model written as GAMS code. In the model, all sets, parameters, variables, equations, model solving settings, results output settings are provided in detail.

Research results based upon these data are published at http://doi.org/10.1016/j.apenergy.2022.119921


Funding

Multi-energy control of cyber-physical urban energy systems (MC2) (2020-04-01 - 2024-03-31); Wu, Jianzhong. Funder: Engineering and Physical Sciences Research Council

Supergen Energy Networks Hub 2018 (2018-07-01 - 2023-09-30); Wu, Jianzhong. Funder: Engineering and Physical Sciences Research Council:BH172715

The Active Building Centre

Department for Business, Energy and Industrial Strategy

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History

Specialist software required to view data files

Microsoft Excel and Word

Language(s) in dataset

  • English-Great Britain (EN-GB)

Data-collection start date

1991-01-01

Data-collection end date

2050-12-31

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    School of Engineering

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