Cost Reduction Research Articles

Arrangement of Nondestructive Tests for Technical Inspection Process of Electrofusion Weld in Gas Polyethylene Pipe

Due to the reduction of operational costs, Non-corrosiveness, and ease of implementation, polyethylene pipes are a suitable replacement for steel pipes in gas distribution networks. Considering the irreversible events of gas leakage, effective and feasible non-destructive testing of electrofusion welding is an essential factor to avoid the hazards of gas leakage. To control the quality of welds, the nature of the electrofusion structure leads us to manufacture vacuum boxes, internal pressure devices, and Tapping Saddle Connector for testing polyethylene joint leakages. This article focuses on the sequence of these non-destructive tests to monitor the health of polyethylene electrofusion joint structures under gas network project implementation conditions. To examine the testing chain and the proposed sequence of non-destructive tests, the data gathering process was performed, and with respect to the sensitivity of the electrofusion weld to the operator's skill, welding process, and the condition of the pipe and fittings, in each case the influential factors to find the key parameters were evaluated. The results of laboratory tests in cases of short tests and long-life tests using artificial defects such as slow crack growth with defective samples of on-site joints and defects reported in projects were compared. To validate leak detection, leak location, and leak measurement, weld simulation with finite element and CFD software analysis conforming to real conditions was considered. The test sequence, acceptance criteria, and calibration method of the tools according to EN 1555 standard were argued for performing the final inspection steps. In this perspective, for each leak testing technique, the average type, pressure level, test duration, and finally the acceptance criteria were proposed. The main outcome is the technical specifications for electrofusion weld assessment and baseline risk- based inspection scheme in gas supply projects. In this regard, a database software based on the proposed ITP (Inspection and Testing Plan) has been developed, which is fundamental for monitoring the whole project from the first stage of polyethylene granule control, pipe and fitting manufacture, and gas injection to the final stage in network and commissioning. Operations to determine failure causes and suitability for performance assessment. Another proposed idea is standardizing the recent technical specifications internationally. This idea will be implemented when management realizes that non-destructive testing can lead to cost savings, protection of humans and the environment, and when codes and standards encompass such requirements.

Planned expansion of transportation infrastructure in Brazil has implications for the pattern of agricultural production and carbon emissions

High transportation costs have been a barrier to the expansion of agriculture in the interior of Brazil. To reduce transportation costs, Brazil launched the National Logistics Plan, aiming to expand its railway network by up to 91 % by 2035. Such a large-scale infrastructure investment raises concerns about its economic and environmental consequences. By combining geospatial estimation of transportation cost with a grid-resolving, multi-scale economic model that bridges fine-scale crop production with its trade and demand from national and global perspectives, we explore impacts of transportation infrastructure expansion on agricultural production, land use changes, and carbon emissions both locally and nationally in Brazil. We find that globally, the impacts on output and land use changes are small. However, within Brazil, the plan's primary impacts are impressive. PNL2035 results in the reduction of transportation costs by 8–23 % across states (depending on expansion's extent) in the interior Cerrado biome. This results in cropland expansion and increases in terrestrial carbon emissions in the Cerrado region. However, the increase in terrestrial carbon emissions in the Cerrado is offset by spillover effects elsewhere in Brazil, as crop production shifts away from the Southeast-South regions and accompanying change in the mix of transportation mode for farm products from roadway to more emission-efficient railway. Furthermore, we argue that the transportation infrastructure's impact on the enhanced mobility of labor and other agricultural inputs would further accentuate the regional shift in agricultural production and contribute to carbon emission mitigation. Upon its completion, PNL2035 is expected to result in the reduction of net national emissions by 1.8–30.7 million metric ton of CO2-equivalent, depending on the impacts on labor and purchased input mobility. We conclude that the omission of spillover effects due to infrastructure expansion can lead to misleading assessments of transport policies.

Blown film of PLA for packaging with green tea and fish industrial residues: an insight on their properties

The use of food waste on the production of packaging can be seen as a promising strategy to cost reduction and new properties. Moreover, packaging, besides food physical protection, should establish a barrier to light and oxygen together with antioxidant and antibacterial activity, to extend the shelf-life of perishable products. In this study, PLA films with the incorporation of natural additives (cold fish protein - cFG and green tea extract - GTE) were successfully produced by blown film extrusion. While PLA exhibits favorable water vapor barrier properties due to its hydrophobic nature, a significant drawback in terms of high oxygen permeability. Although the cFG and GTE incorporation into the PLA matrix decreased the water vapor barrier and mechanical properties, it improves the oxygen barrier along with wettability and antioxidant activity. Moreover, GTE polyphenol compounds seem to improve molecular interaction between the PLA and cFG particles by establishing a better dispersion with enhanced compatibility. These results exhibit the benefits of adding cFG and GTE to a PLA matrix to produce an active film with reliable properties for food packaging.

Building Energy Optimization using BIM: A Study on Institutional Building

Abstract: In many facets of the construction industry, including energy management to encourage the development of green buildings, Building Information Modelling (BIM) is one of the contemporary data information platforms and management technologies that is widely employed. The goal of this study was to optimize an institutional building's energy consumption by analyzing and evaluating its energy performance using BIM-provided capabilities. The Civil Engineering block of Sree Vidyanikethan Engineering College in Tirupati, was taken into consideration for the investigation. The 2D blueprint was obtained from the engineering department and BIM technologies were used to create the necessary building model. The Green Building Studio (GBS) tool and Autodesk Insight 360 were utilized to conduct an energy analysis and derive the energy usage figures. The structural elements that are contributing to the high energy demand, such as the area between windows and walls, the width of the chajja relative to the height of the window, etc., were identified, and the BIM model underwent the required alterations to optimize the energy consumption. Comparing the data obtained in the two aspects, it was found that there was a 30% reduction in energy costs and a roughly 29.76% drop in energy use.

Enhanced Construction Productivity by Effective Equipment Management through Fleet Operations

Abstract: In construction equipment management, achieving optimum utilization is essential for cost reduction and ensuring efficient completion of tasks. Equipment fleets, which comprise various machines working together, are central to this goal. For instance, tasks like loading, hauling, and compaction often require coordination between an excavator, multiple haul units, and auxiliary machines. These interconnected systems form the backbone of construction projects, with each component contributing to overall productivity. Take, for example, an excavator and a fleet of trucks; they operate as a linked system where the performance of one directly impacts the efficiency of the others. Therefore, effective management involves not only maximizing the efficiency of individual machines but also coordinating their operations to minimize downtime and optimize production. By understanding the interdependence of equipment and implementing strategies to enhance their performance collectively, construction projects can achieve greater efficiency and cost-effectiveness

Toward Environmentally sustainable surgery: Waste recycling in general surgery operating room. Preliminary cognitive audit.

It is common practice to classify waste from the operating theater as "clinical". The development of sustainable policies could have a significant impact. In the first phase, our study aims to measure general surgery waste and to assess the potential financial and carbon savings of appropriate recycling. Based on this information, we will plan for a second phase in which educational interventions will be put in place to promote waste segregation in surgical environments. We conducted a preliminary cognitive audit of the most common general surgery procedures to examine the types and quantity of waste produced. We calculated the economic and environmental impacts of disposing of waste treated as clinical or general, and we measured how much of it could actually be recycled. Then, we attempted a projection of the savings we could expect if recycling policies were implemented. We found that more than 30% of total waste was actually recyclable. Considering a projection based on annual procedures performed in our hospital, we estimated that for each kind of surgical procedure, we could expect a reduction of the carbon footprint by approximately 6%, and an average 3% reduction in costs every year, only by improving waste segregation in the general surgery operating rooms. There could be a great potential for reducing environmental and economic footprint of the operating rooms by promoting waste recycling protocols. Surgeons are in a unique position to implement for these protocols. Interventions should be codesigned with theater staff to create a "green culture".

Shake table tests on a rigid block isolated with high-damping unbonded fiber-reinforced elastomeric isolators

Fiber-reinforced elastomeric isolators (FREIs) represent a relatively recent type of elastomeric device. In contrast to traditional steel-reinforced elastomeric isolators (SREIs), FREIs are constructed with multiple layers of rubber pads and fiber layers instead of steel laminas. This choice is aimed at cost reduction during the manufacturing and installation process. To enhance cost-efficiency, FREIs can also be used in unbonded applications (UFREIs), where the device is placed between the foundation and the superstructure without bonding or fastening. This approach helps to further minimize installation expenses. Furthermore, the lateral rollover deformation, a characteristic feature of this configuration, improves energy dissipation. This study investigates the seismic isolation capabilities of high-damping unbonded FREIs for low-rise masonry buildings. Specifically, unidirectional cyclic and shake table tests of a rigid block isolated with two UFREIs are discussed. The primary goals of this experimental study include evaluating the effectiveness of UFREIs in reducing seismic demands, analyzing the response of UFREIs under unidirectional ground-motion excitation, confirming the ability of UFREIs to withstand major unidirectional excitation without sustaining damage, and exploring the limitations of this isolation system under a range of seismic inputs and low axial loads.

A Novel GE-Mackinsey Market Approach: Investment Opportunity for the Biopolymer Packaging Materials

Sustainable development in agriculture seeks to implement a robust bioeconomy strategy by valorizing agricultural resources into value-added products. Compared to primary biomass use, using agriculture residues and wastes can achieve higher reductions in GHG emissions and lower feedstock costs. Bioeconomy has substantial potential for high-value products such as biopolymers, pharmaceuticals, and food and feed additives. Low-value applications like bioenergy, biofuels, and bulk chemicals have a weak potential for bioeconomy development. However, high value-added products, including biopolymers, require an equal focus as other products in the bioeconomy value pyramid that can lift the market to elevate sustainable bioeconomy development. A successful transition through radical innovations must be justifiable, with economic, environmental, and social benefits primarily promoted by stakeholders, businesses, or government organizations. One of the core options would be to know the market potential of the biopolymer products. Here, a methodology for decision-making to evaluate four existing biopolymer packaging materials (Cellulose, PHA, PLA, and starch) in the EU market has been developed using the GE-McKinsey Nine-Box Matrix, considering market attractiveness and product competitive advantage. Market innovations can be fostered by integrating the resource availability and technology advancement indicators to the methodology steps. The methodology considers sustainability advantages for the agriculture sector and promotes the strategic commercialization of biopolymer packaging materials. Product-specific indicators are used to evaluate the market attractiveness and product competitive advantage. The research findings show that PLA biopolymer packaging material has the highest potential for commercialization. The application of this methodology and its results provide a justifiable way of determining the investments in value-added products and allow investors to make the right decision-making choice for bioplastic packaging materials, ensuring their sustainability and profitability in the market.

Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount

The advanced information technology has enabled supply chain to make centralized optimal decision, allowing to make a global optimal solution. However, dealing with uncertainty is important in inventory management. Besides demand and supply uncertainties, supplier discounts also often arise unexpectedly. Further, suppliers or third-parties typically offer various delivery options in which trade-off occurs between cost and lead time. Thus, this study introduces new problem namely Multi-Echelon Inventory Optimization with Delivery Options and Uncertain Discount (MEIO-DO-UD). As a solution, Neuroevolution Reinforcement Learning (NERL) framework is developed for minimizing total system cost. The environment is modeled via System Dynamics (SD) and actor is presented by integration of Artificial Neural Network and Evolutionary Algorithm (EA), creating an effective decision-making model under dynamic uncertainty. The experimental study has been conducted where two different supply chain networks are given namely serial and divergence. Three EA algorithms are compared namely Differential Evolution (DE), Memetic Algorithm (MA), and Evolution Strategy (ES). Furthermore, NERL is also compared with the EA-optimized classical continuous review model namely (s,Q). The result shows that regardless what EA type is used, the proposed NERL always outperforms EA-optimized (s,Q) model. The more complex the problem, the further improvement can be made i.e. cost reduction up to 58%, followed by the fill rate improvement. The result also shows that NERL can avoid overfitting. Managerial implications are highlighted where NERL provides the more stable inventory level among all supply chain partners and bull-whip effect can be damped.

Optimal power dispatch in hybrid power system for medium- and large-scale practical power systems using self-adaptive bonobo optimizer algorithm

Incorporating renewable energy sources (RESs) introduces a notable amount of uncertainty in the optimal planning and operation of electrical power grids. Under these circumstances, this paper proposes the application of a recently introduced metaheuristic optimization technique to solve the stochastic optimal power flow (OPF) problem involving wind and solar power sources. The self-adaptive bonobo optimizer (SaBO) is used to minimize three distinct objective functions: (i) Total generation cost (TGC) minimization, including both thermal and wind/solar generation costs, (ii) Power loss minimization, (iii) Combined generation cost and emissions effect minimization. The costs associated with the stochastic generation of wind and solar power included direct costs, reserves and penalty costs from the overestimation and underestimation of available wind and solar power, respectively. The performance of the proposed algorithm is evaluated on two power systems: the modified IEEE 30-bus and the Algerian DZA 114-bus test systems. To demonstrate the efficacy of the SaBO, the obtained results have been compared with those obtained from the Kepler optimization algorithm (KOA) and other recently published optimizers under the same case studies and constraints. The comparative results clearly show the superiority of the SaBO algorithm over all other well-known optimization algorithms provided in the literature for solving the OPF problem. This is evidenced by minimizing total generation costs of 781.2363 $/h for the modified IEEE 30-bus and 16,706.1630 $/h for the Algerian DZA-114-bus system. Furthermore, the integration of RES led to a notable 2.33% and 11.67% reduction in total generation cost for the IEEE 30-bus and Algerian DZA 114-bus systems, respectively, compared to their initial configurations without RESs. The promising findings highlight the powerful of the optimizer to solve non-linear and complex optimization problems in power systems.

FEM-Circuit co-simulation of superconducting synchronous wind generators connected to a DC network using the homogenized J–A formulation of the Maxwell equations

High-temperature superconductors (HTS) are greatly appealing for the development of high efficient, and high energy density power devices. They are particularly relevant for applications requiring light and compact machines such as wind power generation. In this context, to ensure the proper design of the superconducting machines and their reliable operation in power systems, it is then important to develop models that can accurately include their physics but also can describe properly their interaction with the system. To achieve such a goal, one approach is the co-simulation. This numerical technique can bring fine geometrical and physical details of the machines through a finite element model (FEM) meanwhile dealing with the operation of the whole system that incorporates the machine and a subset of the power grid represented by an external electrical circuit. The goal of the present work is to put to use this numerical technique when superconducting components are involved. Here, a case study is proposed involving a 15 MW hybrid superconducting synchronous generator (HTS rotor and conventional stator) coupled to a direct current network via a rectifier and its associated filter. The case study related to wind power application allows grasping the technical issues when employing co-simulation dealing with HTS machines. The FEM of the generator is done in the commercial software COMSOL Multiphysics, which interacts with the circuit simulator Simulink through the built-in Functional Mock-up Unit. For the present study, a new version of the latest J–A formulation combined with homogenization technique is introduced allowing an even faster computation time compared to the T–A formulation. Distributed variables and global variables such as current density, magnetic flux density, and local losses for the former and voltage, current, electromagnetic torque, and power quality for the latter are estimated and compared for both formulations. The idea is to find the best-suited combination FEM-circuit under criteria of computational speed, accuracy, and numerical stability. Thus, it is shown that all formulations generate an error of less than 5% on the machine parameters and that the J–A formulation with first order elements stands out with a significant 4-fold reduction in computational costs.

Raspberry Pi Enabled Biometric Attendance System

The precision and ease of use of the BIOMETRIC Attendance System draw many users to it among the many real-time apps available today. The development of an attendance system based on fingerprints was a significant difficulty. This method proposes to use a Raspberry Pi running Linux as the attendance system. The procedure starts with the generation of the database using a fingerprint reader and continues with the system-provided recognition and authentication. The Raspberry Pi platform is used for the entire procedure. The standardized fingerprint authentication approach, which can extract an individual's finger print and compare it to a database, is presented in this study. Additionally, it can give parents and teachers a summary of attendance on a daily and monthly basis. The main goal of the study that follows is to use biometric systems for verifying and authenticating the physical attendance of inmates in any kind of organization. This is made possible by the working principle of biometrics, which is based on control of prominent scalability, flexible properties, and cost reduction for reducing the requirements of biometric systems for numerous computational resources. Key Words: Fingerprint Sensor, Interfacing, Raspberry Pi.

Enhancing Adhesion and Reducing Ohmic Contact through Nickel–Silicon Alloy Seed Layer in Electroplating Ni/Cu/Ag

Due to the lower cost compared to screen-printed silver contacts, the Ni/Cu/Ag contacts formed by plating have been continuously studied as a potential metallization technology for solar cells. To address the adhesion issue of backside grid lines in electroplated n-Tunnel Oxide Passivating Contacts (n-TOPCon) solar cells and reduce ohmic contact, we propose a novel approach of adding a Ni/Si alloy seed layer between the Ni and Si layers. The metal nickel layer is deposited on the backside of the solar cells using electron beam evaporation, and excess nickel is removed by H2SO4:H2O2 etchant under annealing conditions of 300–425 °C to form a seed layer. The adhesion strength increased by more than 0.5 N mm−1 and the contact resistance dropped by 0.5 mΩ cm2 in comparison to the traditional direct plating Ni/Cu/Ag method. This is because the resulting Ni/Si alloy has outstanding electrical conductivity, and the produced Ni/Si alloy has higher adhesion over direct contact between the nickel–silicon interface, as well as enhanced surface roughness. The results showed that at an annealing temperature of 375 °C, the main compound formed was NiSi, with a contact resistance of 1 mΩ cm−2 and a maximum gate line adhesion of 2.7 N mm−1. This method proposes a new technical solution for cost reduction and efficiency improvement of n-TOPCon solar cells.

Promoting Health and Safety among Construction Workers in Pasay City: Towards an Enhanced Security and Safety Labor Policies

This research investigates the health and safety obstacles encountered by experienced construction professionals in Metro Manila. By addressing these challenges, the study aims to enhance worker well-being, safety practices, and policy formulation, potentially yielding economic benefits through cost reduction for construction firms and improved safety standards. Emphasizing social responsibility, the research advocates for promoting worker health and safety to bolster public trust and company reputation. Evidence-based recommendations provided can aid policymakers and regulatory bodies in updating regulations tailored to construction workers' needs, ensuring compliance and addressing sector-specific challenges. Valuable insights for the construction industry include strategies to retain and support experienced workers, anticipating reduced turnover rates and increased productivity. A safer construction environment not only benefits workers but also the broader community by reducing accidents and fostering societal harmony. The study prioritizes enhancing construction workers' quality of life by addressing physical hazards and safety protocol gaps, offering practical guidelines for employers to cultivate a culture of worker well-being and satisfaction. Furthermore, the research contributes to the academic discourse on occupational health and safety in physically demanding industries like construction, advancing understanding and facilitating future discussions on challenges and solutions in this field.

Optimized system for combined production of electricity/green hydrogen for multiple energy pathways: a case study of Egypt

Abstract By optimal sizing of a wind/photovoltaic hybrid renewable energy system, trimming the surplus capacity to reduce the fluctuations in the electricity supplied to the grid and using it to produce green hydrogen through electrolysis, a stable output with maximum possible capacity factor is generated to maintain the electricity grid stability. Simultaneously, the trimmed energy is used in a secondary conversion path that minimizes the weighted average cost of energy generated from the entire plant. This surplus power-to-gas conversion allows the use of green hydrogen to produce electricity, methanol, or ammonia subject to the resource availability, site characteristics, and financial feasibility. Based on robust site selection criteria, the best performance is obtained at two sites: Ras Ghareb and Minya achieving the least energy cost with some variance in their performance. For Ras Ghareb site, the optimally sized renewable energy plant provided the grid with a quasi-steady capacity of 423 MW with a capacity factor of 80.04 % and was capable of injecting 2965.8648 GWh throughout the year with the least cost of 2.4355 ¢/kWh. A surplus of 3.9 % of the total energy produced from the plant was directed to produce 1922-ton H2/year, achieving the least cost of hydrogen production of 1.9745 $/kg H2. For the other selected site, Minya, the clipped energy is used to produce 3330.47-ton H2/year with an optimized least cost of 3.5268 $/kg H2. The difference in hydrogen cost was attributed to the number of full operating hours of the electrolyzer in both sites. The cost is mainly affected by the electricity price and the electrolyzer cost. With both tending to decrease, future forecasts show hydrogen cost reductions.

Effect of Operating Conditions on the Capacity of Vanadium Redox Flow Batteries

Abstract Vanadium redox flow batteries (VRFBs) present a viable solution to address the intermittent power output challenge associated with wind and solar energy generation. However, their development is impeded by their low energy density and high cost. To achieve the objective of cost reduction, it is crucial to optimize operating conditions, minimize capacity loss, and enhance battery performance. Through meticulous experimental analysis, this study thoroughly examines the impact of membrane thickness, current density, flow rate, and self-discharge on battery capacity. The experimental findings reveal that an increase in membrane thickness results in elevated resistance to proton transport, thereby weakening electrochemical reactions. Moreover, surpassing critical values for current density and flow rate also leads to a decrease in capacity. Prolonged shelving induces severe self-discharge reactions that accelerate deterioration of capacity fade. This research suggests that obtaining optimal operational parameters can effectively mitigate battery capacity fade.

Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission

A supervisory control system using Model Predictive Control (MPC) has been designed to evaluate the efficiency of wind and solar power and is consistent with the cost function in the supervisory MPC optimization problem. A two-layer Economic Model Predictive Control (EMPC) framework has been developed and has improved results such as cost reductions compared to recent advanced methods. A speed Generalized Predictive Control (GPC) scheme intended for wind energy conversion systems was developed last year, with simulation results indicating superior performance over previous models. A Hierarchical Distributed Model Predictive Control (HDMPC) can work under different weather conditions with improved economic performance and keep a good balance between power delivery and load demand. An energy management system (EMS), built on the basis of MPC, can be quite lucrative for the sphere in the present climate scenario, with the selection and testing of suitable algorithms, controlled processes, cost functions, and a set of constraints as well as with proper optimizations carried out. Previous research indicates that an MPC-based EMS has the potential to be a good solution to manage energy well and also introduced it to the world experimentally. The key intention of this research study is to explore the existing advances that have been introduced and to analyze their performance in terms of cost function, different sets of constraints, variant conversion processes, and scalability to achieve more optimized operation of MPC-based EMS.

Research on Optimization of International Multimodal Transportation Routes Based on Uncertainty Theory

Delays in international multimodal marine transport can result in subsequent connection delays, leading to prolonged transportation time and increased uncertainty. To identify more reliable and cost-effective robust transportation routes, this study establishes a constrained planning model for multimodal transportation routes. Employing uncertainty theory, the model is transformed into a deterministic equivalent class model and ultimately incorporates an adaptive differential evolution (ADE) algorithm. Results of a case study indicate that: (i) the proposed model, compared with deterministic models, exhibits greater robustness and better aligns with practical transportation scenarios, resulting in substantial reductions in actual transportation time and cost; (ii) the solution efficiency of the ADE algorithm surpasses that of the genetic algorithm and Dijkstra algorithm; (iii) the start time of transportation and the confidence level of uncertainty also play crucial roles in influencing route selection. Therefore, decision-makers should consider a multifaceted approach when formulating transportation routes.

Identifying critical components for railways rolling stock reliability: a case study for Iran.

Electrical railways constitute a vital component of transportation infrastructure worldwide, with rolling stock representing a key element of these systems. Given the extensive operational hours of such systems, effective maintenance scheduling and asset management are imperative to ensure reliability and safety while mitigating costs. This paper addresses the challenge of optimizing maintenance practices for railway rolling stock by introducing a novel implementation of reliability-centered maintenance (RCM) grounded in the reliability block diagram (RBD) framework. This methodology meticulously incorporates reliability parameters into maintenance strategies, aiming to enhance the operational efficiency of railway systems. Leveraging the criticality index, the study identifies components crucial for train reliability, facilitating cost-effective maintenance management. The proposed approach is applied and validated on the Tabriz line 1 metro in Iran, a system with over six years of operational history. Analysis reveals the bogie subsystem's criticality due to its interconnected components, with parts exhibiting significant mean time to repair (MTTR). Conversely, the brake system emerges as the most reliable subsystem. Additionally, sensitivity analysis demonstrates an inverse relationship between repair rates and component sensitivity, highlighting the pivotal role of efficient repair processes in bolstering system reliability. This research contributes a comprehensive and validated methodology for RCM in railway rolling stock, emphasizing cost reduction, system reliability, and strategic prioritization of maintenance efforts. As the approached method in this research is not limited to the specific case study and can be applied in any system by generating the RBD and reliability parameters of the system we want to study The findings hold significant implications for the global planning and execution of railway maintenance operations, setting a new standard for reliability-centered maintenance practices in the field.

Techno-Economic Evaluation of a Residential Photovoltaic System: A Case Study From the Residential Complex Kass Suwailem in Hilla, Iraq

Recently, the construction of residential complexes has spread significantly in all cities of Iraq. Hence, incorporating renewable energy into residential buildings provides multiple advantages as an essential component of the global sustainability initiative. In this study, a techno-economic analysis of a photovoltaic (PV) system has been evaluated in residential buildings of Kass Suwailem I and II, Iraq-Hilla, as a case study. The evaluation involved the technical and economic feasibility of implementing a solar power generation system in this residential setting. Furthermore, it assessed the costs, benefits, and financial viability of installing and operating a PV system for electricity generation. The optimal size of the PV system based on the energy consumption, local solar irradiation levels, and electricity demand patterns for each apartment unit has been evaluated. For each apartment unit, the total PV system cost is assumed to be $12,470 consisting of a 14.7 kW array, 8-battery bank of 230 Ah each, controller, and 10 kW inverter. Life-Cycle Cost analysis has been employed to determine the comprehensive cost of the PV system, encompassing all expenditures accrued throughout its operational lifespan. The calculation of the installed PV system involves annual energy rationalization, along with determining the amount of cost reduction and comparing the system with a generator or any other source that uses fossil fuels.