A decision-support system for energy-efficiency investments on building renovations

Rui Neves-silva; DEE Group Author

doi:10.1109/ENERGYCON.2010.5771656

A decision-support system for energy-efficiency investments on building renovations

Rui Neves-silva, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

When intending to renovate an existing building,with energy efficiency and greenhouse gas emissions in mind, a building owner is always questioning himself if the availableinvestment resources are being directed to an effective returnand if there are ways to improve this return. In addition, it is quite difficult to identify all the criteria to be considered in suchdecision and how to structure it in a formal and systematic process that involves all necessary stakeholders. This paperpresents an innovative approach to support decision-makingwhen choosing energy-efficiency investments on building renovations. The proposed approach uses prediction based onmodel consumption to propose alternative energetic scenariosand the Analytic Hierarchy Process to select the best one.

Original language	Unknown
Title of host publication	-
Pages	102 - 107
DOIs	https://doi.org/10.1109/ENERGYCON.2010.5771656
Publication status	Published - 1 Jan 2010
Event	IEEE International Energy Conference - Duration: 1 Jan 2010 → …

Conference

Conference	IEEE International Energy Conference
Period	1/01/10 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ENERGYCON.2010.5771656

Cite this

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title = "A decision-support system for energy-efficiency investments on building renovations",

abstract = "When intending to renovate an existing building,with energy efficiency and greenhouse gas emissions in mind, a building owner is always questioning himself if the availableinvestment resources are being directed to an effective returnand if there are ways to improve this return. In addition, it is quite difficult to identify all the criteria to be considered in suchdecision and how to structure it in a formal and systematic process that involves all necessary stakeholders. This paperpresents an innovative approach to support decision-makingwhen choosing energy-efficiency investments on building renovations. The proposed approach uses prediction based onmodel consumption to propose alternative energetic scenariosand the Analytic Hierarchy Process to select the best one.",

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N2 - When intending to renovate an existing building,with energy efficiency and greenhouse gas emissions in mind, a building owner is always questioning himself if the availableinvestment resources are being directed to an effective returnand if there are ways to improve this return. In addition, it is quite difficult to identify all the criteria to be considered in suchdecision and how to structure it in a formal and systematic process that involves all necessary stakeholders. This paperpresents an innovative approach to support decision-makingwhen choosing energy-efficiency investments on building renovations. The proposed approach uses prediction based onmodel consumption to propose alternative energetic scenariosand the Analytic Hierarchy Process to select the best one.

AB - When intending to renovate an existing building,with energy efficiency and greenhouse gas emissions in mind, a building owner is always questioning himself if the availableinvestment resources are being directed to an effective returnand if there are ways to improve this return. In addition, it is quite difficult to identify all the criteria to be considered in suchdecision and how to structure it in a formal and systematic process that involves all necessary stakeholders. This paperpresents an innovative approach to support decision-makingwhen choosing energy-efficiency investments on building renovations. The proposed approach uses prediction based onmodel consumption to propose alternative energetic scenariosand the Analytic Hierarchy Process to select the best one.

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KW - energy efficiency

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