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Energy Efficiency and Energy Savings in Smart Buildings

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: closed (1 July 2021) | Viewed by 6596

Special Issue Editors


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Guest Editor
Department of Civil and Building Services Engineering, Polytechnic University of Timisoara, Piata Victoriei 2A, 300006 Timisoara, Romania
Interests: refrigeration and heat pump systems; solar energy conversion and storage; energy efficiency and energy savings; thermal comfort and environmental quality; water and heat distribution systems; numerical simulations and optimizations in building services

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Guest Editor
Polytechnic University of Timisoara, Department of Civil and Building Services Engineering, Piata Victoriei 2A, 300006 Timisoara, Romania
Interests: water supply systems; heating systems; renewable energy; energy savings; energy efficiency; ambient comfort

Special Issue Information

Dear Colleagues,

I am inviting submissions to a Special Issue of Energies titled “Energy Efficiency and Energy Savings in Smart Buildings”. Economy, population, and per capita energy consumption have increased the demand for energy during the last several decades. Statistical data has indicated that buildings account for approximately 40% of energy end-use in the European Union (EU), of which more than 50% is electricity. According to the United Nations Environment Programme (UNEP), 60% of the global electrical energy is consumed by residential, commercial, and office buildings, with an increasing trend over time. Buildings represents the largest and most cost-effective potential for energy savings. Studies have also shown that saving energy is the most cost-effective method for reducing greenhouse gas (GHG) emissions. Furthermore, higher energy efficiencies will contribute to global sustainability.

The term “smart buildings” describes a suite of technologies used to make the design, construction, and operation of buildings more efficient, and is applicable to both existing and new-build properties. In simple words, a smart building can limit its energy consumption on days when the city power grid sends an alert that it is near capacity.

Efficient energy usage inside smart buildings is a critical issue as over 30% of the global energy consumption resides in the use of heating, ventilation, and air conditioning (HVAC) systems. Usage awareness and the efficient management of HVAC have the potential to significantly reduce related costs. Nevertheless, strict saving policies may contrast with users' comfort. For this reason, smart and innovative HVAC systems are needed which compensate for energy costs and the thermal comfort of users. The use of intelligent management systems inside buildings can improve the control and management of HVAC, domestic hot-water systems, lighting, fire safety, and other “energy-hungry” devices and also facilitate the integration of renewable energy sources. The aim of this Special Issue is to incorporate works on energy efficiency and energy savings in smart buildings, including the most suitable technologies and techniques, their main features, and their applications in these buildings, and to contribute to GHG emission mitigation—in particular CO2 emissions.

Prof. Dr. Ioan Sarbu
Prof. Dr. Adriana Tokar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart building
  • energy supply
  • energy management
  • energy efficiency and energy savings
  • sustainability
  • renewable energy
  • smart HVAC
  • ambient comfort
  • safety and security

Published Papers (3 papers)

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Research

23 pages, 5024 KiB  
Article
Business Processes and Comfort Demand for Energy Flexibility Analysis in Buildings
by Stylianos K. Karatzas, Athanasios P. Chassiakos and Anastasios I. Karameros
Energies 2020, 13(24), 6561; https://doi.org/10.3390/en13246561 - 12 Dec 2020
Cited by 1 | Viewed by 1962
Abstract
Occupant behavior and business processes in a building environment constitute an inseparable set of important factors that drives energy consumption. Existing methodologies for building energy management lag behind in addressing these core parameters by focusing explicitly on the building’s structural components. Additional layers [...] Read more.
Occupant behavior and business processes in a building environment constitute an inseparable set of important factors that drives energy consumption. Existing methodologies for building energy management lag behind in addressing these core parameters by focusing explicitly on the building’s structural components. Additional layers of information regarding indoor and outdoor environmental conditions and occupant behavior patterns, mostly driven by everyday business processes (schedules, loads, and specific business activities related to occupancy patterns and building operations), are necessary for the effective and efficient modeling of building energy performance in order to establish a holistic energy efficiency management framework. The aim of this paper was to develop a context-driven framework in which multiple levels of information regarding occupant behavior patterns resulting from everyday business processes were incorporated for efficient energy management in buildings. A preliminary framework evaluation was performed in a multifaceted university building involving a number of spaces, employees, business processes, and data from sensors and metering devices. The results derived by linking operational aspects and environmental conditions (temperature, humidity, and luminance) to occupant behavior underlying business processes and organizational structures indicated the potential energy savings: a max of 7.08% for Heating, ventilation, and air conditioning (HVAC), 19.46% for lighting and a maximum of 6.34% saving related to office appliances. Full article
(This article belongs to the Special Issue Energy Efficiency and Energy Savings in Smart Buildings)
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19 pages, 3872 KiB  
Article
Exploratory Research to Improve Energy-Efficiency of a Ground-Coupled Heat Pump Utilizing an Automatic Control Device of Circulation Pump Speed
by Ioan Sarbu and Calin Sebarchievici
Energies 2020, 13(19), 5016; https://doi.org/10.3390/en13195016 - 24 Sep 2020
Cited by 1 | Viewed by 1685
Abstract
Ground-coupled heat pumps (GCHPs) are an efficient thermal energy production system that can satisfy the gap between heating and air-conditioning. Be that as it may, exploratory research on GCHPs is still lacking. The first objective of this article is to describe a utilitarian [...] Read more.
Ground-coupled heat pumps (GCHPs) are an efficient thermal energy production system that can satisfy the gap between heating and air-conditioning. Be that as it may, exploratory research on GCHPs is still lacking. The first objective of this article is to describe a utilitarian energy-efficiency improvement device for a vertical GCHP system that includes a buffer tank (BT) between the heat pump unit and the fan coil units and user supply, utilizing the quantitative regulation of water flow rate with a variable-speed circulation pump. At that point, the investigative estimations are utilized to test the performances of the GCHP system in various operating modes. Fundamental efficiency parameters (coefficient of performance (COP) and CO2 emission) are achieved for one month of running utilizing two control strategies of the GCHP—standard and optimized regulation of the water pump speed—and a benchmarking of these parameters is achieved. Exploratory research has indicated higher efficiency of the system for the flow regulation solution utilizing a BT and programmed control equipment for the circulation pump speed compared with the standard regulation solution (COPsys with 7–8% higher and CO2 emission level 7.5–8% lower). The second objective is to elaborate a simulation model of the necessary heat/cold in heating and air-conditioning periods, utilizing the Transient Systems Simulation (TRNSYS) program. Finally, the simulation, acquired utilizing the TRNSYS program, is analyzed and compared with experimental information, leading to a good agreement and, along these lines, the simulation model is approved. Full article
(This article belongs to the Special Issue Energy Efficiency and Energy Savings in Smart Buildings)
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24 pages, 740 KiB  
Article
A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems
by Xuetao Wang, Qianchuan Zhao and Yifan Wang
Energies 2020, 13(15), 3927; https://doi.org/10.3390/en13153927 - 31 Jul 2020
Cited by 6 | Viewed by 2197
Abstract
Motivated by the importance and challenges of the energy saving problem of parallel-connected pumps in heating, ventilation, and air-conditioning (HVAC) systems, we propose a distributed optimal control algorithm for on-off status and flow rate set points of parallel-connected pumps in HVAC systems. The [...] Read more.
Motivated by the importance and challenges of the energy saving problem of parallel-connected pumps in heating, ventilation, and air-conditioning (HVAC) systems, we propose a distributed optimal control algorithm for on-off status and flow rate set points of parallel-connected pumps in HVAC systems. The proposed algorithm consists of two parts: First, in order to process the network information, we apply the breadth first search algorithm to construct a tree for exchanging messages. Second, all nodes coordinate with each other and randomly sample the speed ratios. To our best knowledge, the algorithm proposed in this paper is the first effort to address the challenges of existing studies at the same time. The algorithm solves the pump optimization problem in a distributed manner, achieves the minimum pump energy consumption and has the convergence guarantee. Even if some of the pumps break down, the whole system can still be working and have great flexibility. Simulation experiments on six parallel-connected pumps are provided for different working cases to demonstrate the effectiveness of the proposed algorithm and compare with the other four methods. The results show that our algorithm strictly satisfies the demand constraints and presents good energy saving potential, the convergence guarantee, and flexibility. The maximum energy saving can be up to 29.92%. Full article
(This article belongs to the Special Issue Energy Efficiency and Energy Savings in Smart Buildings)
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