Methods and Algorithms for the Interaction of Residential Smart Buildings with Smart Grids

2015 ◽  
Author(s):  
Giovanni Bettinazzi ◽  
Alessandro Antonio Nacci ◽  
Donatella Sciuto
Keyword(s):  
Smart Grids ◽  
Smart Buildings

scholarly journals Managing Smart Grids Using Price Responsive Smart Buildings

2017 ◽  
Vol 134 ◽  
pp. 21-28 ◽  
Author(s):  
Joseph Carr ◽  
Alexander Brissette ◽  
Enrico Ragaini ◽  
Luca Omati
Keyword(s):  
Smart Grids ◽  
Smart Buildings

Smart Buildings For Smart Grids: A Real-world Testbed

2018 ◽  
Author(s):  
Safae Bourhnane ◽  
Mohamed Riduan Abid ◽  
Rachid Lghoul ◽  
Khalid Zine-Dine ◽  
Najib Elkamoun ◽  
...  
Keyword(s):  
Real World ◽  
Smart Grids ◽  
Smart Buildings

scholarly journals On the Energy Efficiency in the Next Generation of Smart Buildings—Supporting Technologies and Techniques

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4399 ◽  
Author(s):  
César Benavente-Peces
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Harvesting ◽  
Smart Grids ◽  
Smart Cities ◽  
Clean Energy ◽  
Communication Technologies ◽  
Next Generation ◽  
Smart Buildings ◽  
The Impact

Energy efficiency is one of the most relevant issues that the scientific community, and society in general, must face in the next years. Furthermore, higher energy efficiencies will contribute to worldwide sustainability. Buildings are responsible for 40% of the overall consumed energy. Smart Grids and Smart Buildings are playing an essential role in the definition of the next generation of sustainable Smart Cities. The main goal is reducing the impact of energy consumption on the environment as much as possible. This paper focuses on information communication technologies (ICTs) and techniques, their key characteristics and contribution to obtain higher energy efficiencies in smart buildings. Given that electrical energy is the most used, the investigation mainly centres on this energy. This paper also pays attention to green energies and energy harvesting due to their contribution to energy efficiency by providing additional clean energy. The main contribution of this investigation is pointing out the most relevant existing and emerging ICT technologies and techniques which can be used to optimize the energy efficiency of Smart Buildings. The research puts special attention on available, novel and emerging sensors, communication technologies and standards, intelligence techniques and algorithms, green energies and energy harvesting. All of them enable high-performance intelligent systems to optimize energy consumption and occupants’ comfort. Furthermore, it remarks on the most suitable technologies and techniques, their main features and their applications in Smart Buildings.

scholarly journals Stochastic Operation of a Solar-Powered Smart Home: Capturing Thermal Load Uncertainties

2020 ◽  
Vol 12 (12) ◽  
pp. 5089 ◽  
Author(s):  
Esmaeil Ahmadi ◽  
Younes Noorollahi ◽  
Behnam Mohammadi-Ivatloo ◽  
Amjad Anvari-Moghaddam
Keyword(s):  
Energy Cost ◽  
Smart Grids ◽  
Thermal Load ◽  
Electricity Demand ◽  
Hot Water ◽  
Mixed Integer ◽  
Smart Buildings ◽  
Monte Carlo Simulation Technique ◽  
Proposed Model ◽  
Milp Model

This study develops a mixed-integer linear programming (MILP) model for the optimal and stochastic operation scheduling of smart buildings. The aim of this study is to match the electricity demand with the intermittent solar-based renewable resources profile and to minimize the energy cost. The main contribution of the proposed model addresses uncertainties of the thermal load in smart buildings by considering detailed types of loads such as hot water, heating, and ventilation loads. In smart grids, buildings are no longer passive consumers. They are controllable loads, which can be used for demand-side energy management. Smart homes, as a domain of Internet of Things (IoT), enable energy systems of the buildings to operate as an active load in smart grids. The proposed formulation is cast as a stochastic MILP model for a 24-h horizon in order to minimize the total energy cost. In this study, Monte Carlo simulation technique is used to generate 1000 random scenarios for two environmental factors: the outdoor temperature, and solar radiation. Therefore in the proposed model, the thermal load, the output power of the photovoltaic panel, solar collector power generation, and electricity load become stochastic parameters. The proposed model results in an energy cost-saving of 20%, and a decrease of the peak electricity demand from 7.6 KWh to 4.2 KWh.

scholarly journals Coordinating the operations of smart buildings in smart grids

2018 ◽  
Vol 228 ◽  
pp. 2510-2525 ◽  
Author(s):  
Yang Liu ◽  
Nanpeng Yu ◽  
Wei Wang ◽  
Xiaohong Guan ◽  
Zhanbo Xu ◽  
...  
Keyword(s):  
Smart Grids ◽  
Smart Buildings

Smart Grids and Smart Buildings

2021 ◽  
pp. 1-56
Author(s):  
Dawood Al Abri ◽  
Arif Malik ◽  
Saleh Al-Saadi ◽  
Mohammed Albadi ◽  
Yassine Charabi ◽  
...  
Keyword(s):  
Smart Grids ◽  
Smart Buildings

What is smart? A real estate introduction to cities and buildings in the digital era

2019 ◽  
Vol 44 (3) ◽  
pp. 128-137 ◽  
Author(s):  
Patrick Lecomte
Keyword(s):  
Real Estate ◽  
Smart Grids ◽  
Smart Cities ◽  
Urban Environments ◽  
Commercial Real Estate ◽  
Smart Buildings ◽  
The Real Estate ◽  
Digital Era ◽  
Real Estate Sector ◽  
Property Type

This article introduces the concepts of smart cities and smart buildings from the viewpoint of commercial real estate. It summarizes the current academic thinking on how the widespread implementation of digital technologies embodied by smart grids and digital skins impacts cities and buildings in two classic smart city models: ubiquitous city and augmented city. It then explores the consequences of these innovations on commercial real estate at both the city and building levels. In doing so, it presents the concept of a new “omni-use” property type whose characteristics derive from ubiquitous computing in smart urban environments. It also proposes guidelines for smart building scores to define a methodology relevant to the real estate sector and conducive to constructing price indices of smart buildings. It concludes by stressing the dominating role that technology will play in defining property heterogeneity in the digital era.

scholarly journals Distributed multi-objective scheduling of power consumption for smart buildings

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Marvin Nebel-Wenner ◽  
Christian Reinhold ◽  
Farina Wille ◽  
Astrid Nieße ◽  
Michael Sonnenschein
Keyword(s):  
Power Consumption ◽  
Smart Grids ◽  
Residential Buildings ◽  
Cost Optimization ◽  
Peak Load ◽  
Load Management ◽  
Management Technique ◽  
Smart Buildings ◽  
Multi Objective ◽  
The Cost

Abstract Load management of electrical devices in residential buildings can be applied with different goals in the power grid, such as the cost optimization regarding variable electricity prices, peak load reduction or the minimization of behavioral efforts for users due to load shifting. A cooperative multi-objective optimization of consumers and generators of power has the potential to solve the simultaneity problem of power consumption and optimize the power supply from the superposed grid regarding different goals. In this paper, we present a multi-criteria extension of a distributed cooperative load management technique in smart grids based on a multi-agent framework. As a data basis, we use feasible power consumption and production schedules of buildings, which have been derived from simulations of a building model and have already been optimized with regard to self-consumption. We show that the flexibilities of smart buildings can be used to pursue different targets and display the advantage of integrating various goals into one optimization process.

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