Published December 2019 | Version v1
Journal article

A general framework for customized transition to smart homes

  • 1. Polytechnique Montréal & GERAD, C.P. 6079, Succursale Centre-Ville, Montreal, QC, H3C 3A7 (Canada)
  • 2. School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD (United Kingdom)

Description

Highlights: • Modeling and optimization of the integration of smart home components. • General framework for the optimal set of smart appliances and investment timing. • Maximization of the return on investment. • Economic feasibility shown for three case studies in different countries using real data. • Quantification of the payback for each site and application. -- Abstract: Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all households in North America and 20% in Europe are expected to become smart homes. Developing a smart home requires considerable investment, and the householders expect a positive return. In this context, this work addresses the following question: what and/or when equipment should be bought for a specific site to gain a positive return on the investment? This work proposes a framework to guide the smart-home transition considering customized electricity usage. The framework is based on linear models and gives a simple payback analysis of each combination of equipment acquisition for any specific user taking into account geographical location and local conditions. It also possible to use the framework for equipment sizing. The results quantify the dependence of the simple payback on the site and the application.

Additional details

Identifiers

DOI
10.1016/j.energy.2019.116138;
PII
S036054421931833X;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
189
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55017937
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COMPUTERIZED SIMULATION; ELECTRICITY; ENERGY CONSUMPTION; ENERGY MANAGEMENT SYSTEMS; HOUSEHOLDS; INVESTMENT; OPTIMIZATION; PROFITS
Descriptors DEC
CONTROL SYSTEMS; ENERGY SYSTEMS; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.