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CM: Demand-side Management/Demand Response

Introduction

👉 Click here to access the online tutorial for this module

The CoolLife Demand-side Management/Demand Response calculation module provides users with an impression of cooling demand response potential. The CM is designed to assess the DR potential of cooling demand for a user-defined region by utilizing pre-cooling strategies and the thermal properties of the region’s building stock to provide an analysis of PV self-consumption, where DR is used to shift cooling demand to match PV supply. Archetype data are used to provide a reference building that is considered a new construction (construction period later than 2010), single-family home, which utilizes the floor area and U-values typical of such buildings for each country. A reference day in the summer period (August 2020) was used to assess cooling demand (please note that results will be impacted based on the conditions of the reference day for each country).

The module operates at NUTS0 level.

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Method

The CM utilizes a 5R1C model to calculate building cooling demand based on a new construction archetype - both for the BAU simulation as described in ISO 13790 (International Organization for Standardization, 2008) and for the optimization model described by Wilczynski et al. 2023 - utilizing climate data from PVGIS (European Commission, 2017). The suggested PV system nominal power is computed at NUTS0 resolution based on pre-processed optimization results as described by Dallapiccola et al, 2022. Finally, a linear optimization model matches cooling demand with PV supply utilizing the flexibility of the building envelope.

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Input

As input, the user simply selects the country (NUTS0) where they would like to evaluate PV matching load shifting.

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Output

Three KPIs related to daily energy consumption on a reference summer day are calculated and displayed as outputs, including:

  1. the total daily business as usual (BAU) cooling demand using non-PV load, which assumes no PV system is present
  2. the total daily cooling demand using non-PV load, which assumes a PV system is present but demand is not optimized to match PV supply
  3. the total daily cooling demand using non-PV load that utilizes demand response load shifting, which assumes a PV system is present and demand is optimized to match PV supply

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Sample Run

Step 1: Select a country at NUTS0 level

Select Germany.

Step 2: Go to the "Calculation Modules" tab

Select "CM - Demand-side Management/Demand Response".

Step 3: Run the CM

Step 4: View and Download Results

The output provided is described in the Output section of this wiki. Note that lower demand (kW) implies that more cooling load is being consumed by PV supply as the output values are displaying only cooling load that is NOT supplied by a PV system. The user can use these values to demonstrate the potential for a PV system in reducing the cooling load for a new SFH in the selected country. See Figure CM - Demand Response.

Figure CM - Demand Response, Input and Results

cm_space_cooling

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Repository of the calculation module

You can access the open-source code for this calculation module here.

How To Cite

Eric Wilczynski, in CoolLIFE-Wiki, CM Demand response

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Authors And Reviewers

This page was written by Eric Wilczynski EURAC Research

This page was reviewed by Aadit Malla EEG-TU WIEN

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License

Copyright © 2024-2025: Aadit Malla

Creative Commons Attribution 4.0 International License

This work is licensed under a Creative Commons CC BY 4.0 International License.

SPDX-License-Identifier: CC-BY-4.0

License-Text: https://spdx.org/licenses/CC-BY-4.0.html

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Acknowledgement

We would like to convey our deepest appreciation to the LIFE Programme CoolLIFE Project (Grant Agreement number 101075405), which co-funded the present investigation.

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