A Review and Categorization of Grid-Interactive Efficient Building Technologies for Building Performance Simulation

Abstract Buildings of the future are expected to not only be energy efficient but also able to offer grid services through implementation of demand-side management strategies by utilizing existing and new technologies that enhance electrical load flexibility. With the high penetration of variable renewables, grid operators have to balance between variable supply with controllable and adaptable demand. This article reviews the current literature on grid-interactive efficient buildings (GEBs) that can provide grid services. In particular, the review identifies categories and examples of measures and technologies that are suitable for GEBs using various criteria. These criteria include demand-side management strategies, potential to provide grid services, technology maturity, as well as ability to model the technologies to perform detailed analyses and assessments in whole-building simulation software.

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Demand-side management strategies based on energy key perfomance indicators in real-time: Case study

CT&F - Ciencia Tecnología y Futuro ◽

10.29047/01225383.128 ◽

2020 ◽

Vol 10 (1) ◽

pp. 5-16

Author(s):

Sandra Milena Tellez- Gutierrez ◽

Oscar German Duarte Velasco ◽

Javier Rosero García

Keyword(s):

Real Time ◽

Performance Indicators ◽

Energy Savings ◽

New Technologies ◽

Management Strategies ◽

Demand Side Management ◽

Key Performance Indicators ◽

Demand Side ◽

Advanced Metering

This paper sets out features of traditional Energy Key Performance Indicators (KPIs) employed in energy management programs; then, new indicators are proposed based on Advanced Metering Infrastructure (AMI) usage. These indicators make it possible to directly relate the amount of energy, type of end use and user consumption patterns. Analysis of AMI system information enables planning for differentiated Demand-Side Management (DSM) strategies. A case study developed at Universidad Nacional de Colombia - Bogotá campus is presented, which proposes new Energy Key Performance Indicators in Real Time. These indicators enable information analysis and DSM strategies that are appropriate for new technologies and that are aimed at increasing energy efficiency. Additionally, this paper presents the factors that have to be taken into account when implementing KPIs (Key Performance Indicators) and the decision-making process. This results in variable overall energy savings between 5 and 40%, according to the DSM strategy implemented.

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Day-ahead scheduling problem of smart micro-grid with high penetration of wind energy and demand side management strategies

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2020.100747 ◽

2020 ◽

Vol 40 ◽

pp. 100747

Author(s):

Heydar Chamandoust ◽

Salah Bahramara ◽

Ghasem Derakhshan

Keyword(s):

Wind Energy ◽

Management Strategies ◽

Demand Side Management ◽

Scheduling Problem ◽

Demand Side ◽

High Penetration ◽

Micro Grid

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Energy efficient design optimization of a bioclimatic house

Indoor and Built Environment ◽

10.1177/1420326x19856668 ◽

2019 ◽

Vol 29 (2) ◽

pp. 270-285 ◽

Cited By ~ 1

Author(s):

MA Boukli Hacene ◽

NE Chabane Sari

Keyword(s):

Energy Consumption ◽

Energy Saving ◽

Simulation Analysis ◽

Simulation Software ◽

Living Environment ◽

Building Performance ◽

Efficient Design ◽

Global Energy ◽

Existing Building ◽

Building Performance Simulation

The global energy context of the year 2018 makes us pessimistic about the future. The geopolitical, environmental and socio-economic aspects are linked to the political tensions of countries that hold and manipulate the global energy market. These countries are haunted by the population growth, the depletion of fossil resources and the global economic crisis. Each country is trying to find reasonable solutions to deal with this crisis. Unfortunately, these solutions always have direct negative repercussions on the population and on the environment. In this paper we present a case study developed in Algeria and inspired by the current and critical socio-economic situation of the country, in particular, the application of energy-saving techniques to an existing building. The investigation was conducted by using both simulation software and real interventions. We analyse some of the major components, such as building’s orientation and exposure to daylight which have significant impact on energy consumption. We present the concept of Building Performance Simulation Analysis, using Autodesk ECOTECT Analysis and COMSOL Multiphysics software, and give full consideration to various ecological energy-saving methods. Using our models, we present a possible solution for retrofitting a building to minimize its energy consumption. The results are useful for both building energy conversation and creating a comfortable living environment in future.

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Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals

Renewable Energy in the Service of Mankind Vol I ◽

10.1007/978-3-319-17777-9_85 ◽

2015 ◽

pp. 951-959

Author(s):

D. Zafirakis ◽

K. Moustris ◽

Ch. Maragkos ◽

M. Stathopoulos ◽

G. Tzanes

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Speed ◽

Management Strategies ◽

Demand Side Management ◽

Demand Side ◽

Wind Speed Prediction ◽

Speed Prediction ◽

Artificial Neural

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Demand Side Management for Reducing Rolling Blackouts Due to Power Supply Deficit in Sumatra

Jurnal Teknologi ◽

10.11113/jt.v69.3202 ◽

2014 ◽

Vol 69 (5) ◽

Author(s):

Husna Syadli ◽

Md Pauzi Abdullah ◽

Muhammad Yusri Hassan ◽

Faridah Hussin

Keyword(s):

Power Systems ◽

Customer Service ◽

Power Supply ◽

Management Strategies ◽

Peak Load ◽

Demand Side Management ◽

Demand Side ◽

Demand Growth ◽

Save Energy ◽

The Impact

When the high electricity demand growth is not matched by growth in generating sufficient capacity, deficit cannot be avoided. In Sumatera, power outages of up to 6 hours per day are part of the power crisis experienced. To date, deficits experienced by Sumatera require better management strategy and operation of electric power systems, taking into account the security system, reliability and customer service. This paper briefly discusses the impact of rolling blackouts on the community's economy and proposed demand-side management strategies as short term measure to overcome the power supply deficit in Sumatera. From the analysis, electricity savings in household equipment can save energy consumption by 98.79 MW at peak load and 97.55 MW for off peak load time.

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