scholarly journals A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

Information ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 108 ◽  
Author(s):  
Abdul Shah ◽  
Haidawati Nasir ◽  
Muhammad Fayaz ◽  
Adidah Lajis ◽  
Asadullah Shah
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Optimization Algorithms ◽  
Energy Optimization ◽  
Smart Homes ◽  
Electrical Energy ◽  
Optimization Techniques ◽  
Comfort Level ◽  
Energy Consumption Optimization ◽  
User Comfort

In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms. Further, many newly proposed optimization algorithms have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. Detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes.

scholarly journals Energy Consumption Optimization and User Comfort Maximization in Smart Buildings Using a Hybrid of the Firefly and Genetic Algorithms

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4363 ◽  
Author(s):  
Fazli Wahid ◽  
Muhammad Fayaz ◽  
Ayman Aljarbouh ◽  
Masood Mir ◽  
Muhammad Aamir ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Air Quality ◽  
Power Consumption ◽  
Hybrid Model ◽  
Residential Buildings ◽  
Optimization Algorithms ◽  
Optimization Techniques ◽  
Proposed Model ◽  
Energy Consumption Optimization ◽  
User Comfort

This research work proposed a hybrid model to maximize energy consumption and maximize user comfort in residential buildings. The proposed model consists of two widely used optimization algorithms named the firefly algorithm (FA) and genetic algorithm (GA). The hybridization of two optimization approaches results in a better optimization process, leading to better performance of the process in terms of minimum power consumption and maximum occupant’s comfort. The inputs of the optimization model are illumination, temperature, and air quality from the user, in addition with the external environment. The outputs of the proposed model are the optimized values of illumination, temperature, and air quality, which are, in turn, used in computing the values of user comfort. After the computation of the comfort index, these values enter the fuzzy controllers, which are used to adjust the cooling/heating system, illumination system, and ventilation system according to the occupant’s requirement. A user-friendly environment for power consumption minimization and user comfort maximization using data from different sensors, user, processes, power control systems, and various actuators is proposed in this work. The results obtained from the hybrid model have been compared with many state-of-the-art optimization algorithms. The final results revealed that the proposed approach performed better as compared to the standard optimization techniques.

scholarly journals IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2802 ◽  
Author(s):  
Qurat-ul Ain ◽  
Sohail Iqbal ◽  
Safdar Khan ◽  
Asad Malik ◽  
Iftikhar Ahmad ◽  
...  
Keyword(s):  
Operating System ◽  
Energy Consumption ◽  
Energy Management ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Residential Buildings ◽  
Inference System ◽  
Intelligent Sensors ◽  
Home Energy Management ◽  
User Comfort

Energy consumption in the residential sector is 25% of all the sectors. The advent of smart appliances and intelligent sensors have increased the realization of home energy management systems. Acquiring balance between energy consumption and user comfort is in the spotlight when the performance of the smart home is evaluated. Appliances of heating, ventilation and air conditioning constitute up to 64% of energy consumption in residential buildings. A number of research works have shown that fuzzy logic system integrated with other techniques is used with the main objective of energy consumption minimization. However, user comfort is often sacrificed in these techniques. In this paper, we have proposed a Fuzzy Inference System (FIS) that uses humidity as an additional input parameter in order to maintain the thermostat set-points according to user comfort. Additionally, we have used indoor room temperature variation as a feedback to proposed FIS in order to get the better energy consumption. As the number of rules increase, the task of defining them in FIS becomes time consuming and eventually increases the chance of manual errors. We have also proposed the automatic rule base generation using the combinatorial method. The proposed techniques are evaluated using Mamdani FIS and Sugeno FIS. The proposed method provides a flexible and energy efficient decision-making system that maintains the user thermal comfort with the help of intelligent sensors. The proposed FIS system requires less memory and low processing power along with the use of sensors, making it possible to be used in the IoT operating system e.g., RIOT. Simulation results validate that the proposed technique reduces energy consumption by 28%.

Role of Indoor Air Distribution in Performance of Heat Pump Systems in Energy-Efficient Residential Buildings

2006 ◽  
Author(s):  
Ali A. Jal-Alzadeh-Azar ◽  
Ren Anderson ◽  
Keith Gawlik
Keyword(s):  
Energy Consumption ◽  
Heat Pump ◽  
Indoor Air ◽  
High Performance ◽  
Energy Use ◽  
Residential Buildings ◽  
Comfort Level ◽  
Air Distribution ◽  
Air Mixing ◽  
Heating Mode

This paper demonstrates the potential impact of indoor air distribution on the energy consumption of central HVAC systems with cognizance of human thermal comfort. The study focuses on a hypothetical high-performance house incorporating a split heat pump system. The air distribution of this building incorporates high sidewall supply-air registers and near-floor, wall-mounted return-air grilles. Heating-mode stratification resulting from this prevalent configuration is a prime example of situations in which challenges regarding energy efficiency, comfort, and ventilation effectiveness emerge. These challenges underline the importance of adopting a comprehensive design strategy for high-performance buildings. Two indoor air distribution scenarios were analyzed: (1) theoretically well mixed and (2) poorly mixed, representing a realistic case. The former scenario was evaluated using an analytical approach, whereas the latter was investigated through computational fluid dynamics (CFD) simulations. For heating mode, the results indicated the presence of a pronounced thermal stratification resulting from poor air mixing. At 50% of the design heating load, for the well-mixed case, the HVAC system energy consumption was significantly higher. Considerably better air distribution performance was observed with cooling mode, in which the relative energy penalty for the well-mixed scenario was noticeably less. In real-world applications where measures must be taken to achieve near perfectly mixed indoor conditions for better comfort, the energy use is expected to be even higher. However, in the absence of such measures, the thermostat setpoint is likely to be readjusted, leading to a higher energy use without necessarily improving the overall comfort level, as demonstrated in this paper. The limitation of increasing the supply-air flow rate to enhance air mixing and diffusion is also discussed in terms of the system moisture removal capability.

Modeling the electrical energy consumption profile for residential buildings in Iran

2018 ◽  
Vol 41 ◽  
pp. 481-489 ◽  
Author(s):  
Mohammad Sepehr ◽  
Reza Eghtedaei ◽  
Ali Toolabimoghadam ◽  
Younes Noorollahi ◽  
Mohammad Mohammadi
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Consumption Profile

SOME ASPECTS OF ENERGY EFFICIENCY IN HOUSING CONSTRUCTION IN RUSSIA

2020 ◽  
Vol 13 (2) ◽  
pp. 90-96
Author(s):  
E.V. Nezhnikova ◽  
◽  
M.V Chernyaev ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Real Estate ◽  
Energy Efficient ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Housing Construction ◽  
Residential Real Estate ◽  
Domestic Legislation

The article presents the problems of ensuring energy efficiency of housing construction in the Russian Federation. Unfortunately, for a variety of reasons and, despite the existence of federal and regional legislation, today Russia does not pay due attention to this issue, which leads to an unreasonable increase in electricity consumption both during the creation of residential real estate objects and during their operation. 96 Экономические системы. 2020. № 2 Economic Systems. 2020. No. 2 The relevance of the topic is enhanced by significant energy consumption of residential buildings in use: more than 50% of electrical energy consumption falls on these real estate objects. Therefore, it is no coincidence, but a completely logical trend of the 21st century, that the governments of most countries popularized the idea of designing and building energy-efficient residential buildings. It was established that the improvement of domestic legislation in terms of energy efficiency has greatly improved the regulatory framework for the design and construction of energy-efficient residential real estate.

scholarly journals Influence of Urban Microclimate on Air-Conditioning Energy Needs and Indoor Thermal Comfort in Houses

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Feng-Chi Liao ◽  
Ming-Jen Cheng ◽  
Ruey-Lung Hwang
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
City Planning ◽  
Residential Buildings ◽  
Meteorological Data ◽  
Simulation Software ◽  
Comfort Level ◽  
Urban Microclimate ◽  
Local Climate ◽  
Hourly Data

A long-term climate measurement was implemented in the third largest city of Taiwan, for the check of accuracy of morphing approach on generating the hourly data of urban local climate. Based on observed and morphed meteorological data, building energy simulation software EnergyPlus was used to simulate the cooling energy consumption of an air-conditioned typical flat and the thermal comfort level of a naturally ventilated typical flat. The simulated results were used to quantitatively discuss the effect of urban microclimate on the energy consumption as well as thermal comfort of residential buildings. The findings of this study can serve as a reference for city planning and energy management divisions to study urban sustainability strategies in the future.

scholarly journals Energy Optimization for Software-Defined Data Center Networks Based on Flow Allocation Strategies

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1014 ◽  
Author(s):  
Zebin Lu ◽  
Junru Lei ◽  
Yihao He ◽  
Zhengfa Li ◽  
Shuhua Deng ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Savings ◽  
Minimum Energy ◽  
Energy Optimization ◽  
Traffic Load ◽  
Data Center Networks ◽  
Energy Consumption Optimization

Nowadays, energy consumption has become an important issue in data center networks. The most promising energy-saving schemes are those that shut down unnecessary network devices and links while meeting the demand of traffic loads. Existing research mainly focuses on the strategies of energy savings in software-defined data center networks (SD-DCN). Few studies have considered both energy savings and the quality of service (QoS) of the traffic load. In this paper, we investigate the energy savings guaranteed by traffic load satisfaction ratio. To ensure the minimum-power consumption in data centers, we formulate the SD-DCN energy consumption optimization problem as an Integer Linear Programming model. To achieve a high success rate for traffic transmission, we propose three flow scheduling strategies. On this foundation, we propose a strategy-based Minimum Energy Consumption (MEC) heuristic algorithm to ensure the QoS satisfaction ratio in the process of energy optimization. The results show that our algorithm can save energy efficiently under the conditions of low traffic load and medium traffic load. Under high traffic load, our algorithm can achieve better network performance than existing solutions in terms of quality of service satisfaction ratio of flow allocation.

Sign in / Sign up

Export Citation Format

Share Document