Solar energy for air conditioning of an office building in a case study: Techno-economic feasibility assessment

2021 ◽  
Vol 39 ◽  
pp. 148-162
Author(s):  
Aziz Haffaf ◽  
Fatiha Lakdja ◽  
Djaffar Ould Abdeslam ◽  
Rachid Meziane
2019 ◽  
Vol 11 (23) ◽  
pp. 6802 ◽  
Author(s):  
Adel Alblawi ◽  
M. H. Elkholy ◽  
M. Talaat

Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21°. Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10−4. After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year.


2014 ◽  
Vol 18 (suppl.1) ◽  
pp. 1-12 ◽  
Author(s):  
Mohamed Musbah ◽  
Branislav Zivkovic ◽  
Franc Kosi ◽  
Mohamed Abdulgalil ◽  
Aleksandra Sretenovic

The feasibility of solar assisted air conditioning in an office building under Tripoli weather conditions is investigated in this paper. A single-effect lithium bromide absorption cycle powered by means of flat-plate solar collectors was modeled in order to predict the potential of the solar energy share. The cooling load profile was generated by using an detailed hourly based program and Typical meteorological year for Tripoli. System performance and solar energy fraction were calculated by varying two major parameters (collector?s slope angle and collector area). The maximum solar fraction of 48% was obtained by means of 1400 m2 of collector surface area. Analysis of results showed that, besides the collector surface area, the main factors affecting the solar fraction were the local weather conditions (intensity of incident solar radiation) and the time of day when the plant was operated.


2020 ◽  
pp. 633-650 ◽  
Author(s):  
Shahin BAZARCHİ ◽  
Gholam Reza Nabi BİDHENDİ ◽  
Iran GHAZİ ◽  
Alibakhsh KASAEİAN

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 180 ◽  
Author(s):  
Liqin Zhu ◽  
Congguang Zhang

The principle of sustainable development is becoming more and more prominent in various schools, and the eco-campus in rural areas often has more room for display. The identification and assessment of cost-effective biomass resources appropriate for recycling represent an opportunity that may significantly improve the comprehensive efficiency of an eco-campus system, resulting in remarkable investment savings, pollution reduction, as well as reducing energy consumption and resources waste. The economic feasibility of two biogas-linked rural campus systems (Fanjiazhai Middle School, FJZ and Xidazhai Middle School, XDZ, Yangling, China), as well as their key technologies, is investigated, the two systems respectively represent two biobased agricultural production modes. It is found that the initial investment, operating investment, and total revenue of FJZ system is 1.37 times, 2.39 times, and 1.71 times of XDZ system respectively, thus indicating that FJZ campus is proved to be a “larger” system compared to the other one. The operating costs show that reasonable control of labor and transportation costs should be carried out to optimize the economic feasibility of the system. After considering the system’s economic credits obtained from using biogas slurry flushing system and avoiding waste management, the net present value of XDZ system had increased to its 1.5 times, while the FJZ system had increased to its 135%. From the perspective of revenue to investment ratio, XDZ system has a better profit earning efficiency compared to FJZ system. The sensitivity analysis indicates that biogas price, fruit yield, labor use are main factors that have the greatest impacts on the economic performance of these eco-campuses.


2018 ◽  
Vol 225 ◽  
pp. 244-257 ◽  
Author(s):  
Chunping Xie ◽  
Yan Hong ◽  
Yulong Ding ◽  
Yongliang Li ◽  
Jonathan Radcliffe

2018 ◽  
Vol 4 (1) ◽  
pp. 67
Author(s):  
Syarifudin Syarifudin ◽  
Ashar Saputra ◽  
Suprapto Siswosukarto

Energy Consumption Intensity (IKE) is an indicator that is used to determine the amount of energy used per area by an air-conditioned building within a month or a year as a reference to determine how much energy conservation can be done in the building. To determine the energy consumption of buildings and to determine the savings opportunities, there should be an effort to review the energy consumption through energy audits. In this research, energy consumption analysis was conducted at the Main Office building of the Faculty of Engineering (KPFT) and Department of Civil Engineering and Environmental (CEED) of UniversitasGadjah Mada Yogyakarta. The analysis was conducted on the main variables of energy efficiency, namely: measurement of temperature and relative humidity, calculation of Overall Thermal Transfer Value (OTTV) and Roof Thermal Transfer Value (RTTV), calculation of Energy Consumption Intensity (IKE) in air-conditioned and non-air-conditioned rooms as well as an analysis of opportunities to increase the efficiency of energy consumption in the buildings.The results showed that the temperature and the relative humidity of the KPFT building = 28.4℃ and 62%, while CEED Building = 28.4℃ dan 65%. Calculation of average OTTV of the KPFT building = 17.61 W/m2 and CEED building = 43.05 W/m2. Average IKE of the KPFT building in 2015 was 3.25 kWh/m2/month and in 2016 was 3.45 kWh/m2/month, while the average IKE of CEED building in 2015 was 1.5 kWh/m2/month and in 2016 was 0.79 kWh/m2/month. Based on the calculation of IKE in both buildings, they are still considered in the category of efficient. However, based on the measurement of temperature and relative humidity, it shows that in both buildings air conditioning is still necessary to achieve the level of thermal comfort, therefore an increase of efficiency in the load is needed to avoid wastage.


Sign in / Sign up

Export Citation Format

Share Document