ACCONEX - solar power projects for MSMEs with financing facilities.- 88844445310

ACCONEX is one of the fast growing EPC contractors in solar and renewable energy sector working all over INDIA stiving to achieve green and clean technology.

 

                                        ACCONEX ENGINEERING

Solar power has fast emerged as the frontrunner among technology options before India in order to transition to a clean energy based economy over the past decade. Technological breakthroughs have brought down the cost of generation to record lows, along with favorable policy and regulatory environments. These factors have propelled the Indian solar industry on a growth trajectory that is expected to last for many years to come.

Solar power has received historic attention at a time when the world is debating the detrimental effects of climate change and how to reduce greenhouse gas emissions, and the solar sector is playing a key role. In order to meet its goals of renewable energy installed capacity of 500 GW by 2030 and net-zero carbon emissions by 2070, India must develop its solar energy potential. As global energy leaders look to India for investments and reimaging, rethink, and reinvent green power, the Indian solar sector is attracting attention.

Will India be able to adequately ramp up its domestic solar manufacturing base on time to cut import dependence, will technological advancements help further reduce tariffs and boost the viability of projects, how soon will the broken supply chain for modules be back on track and finally how will the larger challenge of ensuring a favorable import duty be addressed? The ETEnergyworld Solar Power Congress 2023 aims to take up critical topics like these and generate a healthy and informed debate around them.

This congress brings together thought leaders in the global and Indian renewable energy industry for brainstorming, discussions, and networking with policymakers, CXO's, and research & academia.

Prefabricated construction is typically conducted using a special construction method and is employed in various disciplines such as engineering, management, and technology. Currently, one of the emerging research directions involves a combination of prefabrication and lean principles. However, the systematic analyses outlined in the literature in this field is insufficient and lacks clarity on the mainstream research topics; thus, it is difficult to understand the current research progress and determine the various subject branches. Hence, the purpose of this paper is to review previous research on lean management and the practices adopted in prefabricated construction projects to systematically evaluate their impact on prefabricated construction improvement. To this end, a critical review and summary of the application of lean construction principles in prefabricated construction is conducted using a three-step approach that incorporates bibliometric search, scientometric analysis, and in-depth literature classification. Consequently, five different research dimensions are obtained: data-driven intelligent decision, construction sustainability, activity process optimization, lean construction adoption in prefabricated construction, and other prefabrication-related lean adoption strategies such as circular economy, flexible field factory, and on-site industrialization. The research methods, lean techniques and tools, and research limitations are then discussed and analyzed based on these topics. Because all relevant articles are reviewed, this study contributes to building the knowledge system for lean prefabricated construction (LPC). Furthermore, the current universal development status and periodic results in this field are also discussed in this study. Therefore, the findings can be used to establish new research directions based on future thematic trends in the LPC domain, inspire practitioners using LPC technological implementation paths, and foresee possible obstacles in the future.

Highlights

An event-driven control strategy is proposed for building fast demand response.

The strategy consists of a cooling distribution and an event-driven control scheme.

The event-driven control strategy can achieve power demand reduction effectively.

Problem of unbalanced cooling distribution among zones/spaces can be solved.

The wear and tear of AHU valves can be significantly reduced.

Highlights

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Approach to adaptive control and optimization of construction work, resource and cash flows.

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Models the dynamics, uncertainty, and complexity via partially observable Markov decision process.

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Deep reinforcement learning model is introduced to minimize construction duration and costs.

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Simulator to mimic the dynamic features and external environments of a project for model training.

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Comparing with a vanilla policy, 7.59% of total cost could be saved without influence on duration.

Abstract

Due to complexity and dynamics of construction work, resource, and cash flows, poor management of them usually leads to time and cost overruns, bankruptcy, even project failure. Existing approaches in construction failed to achieve optimal control of resource flow in a dynamic environment with uncertainty. Therefore, this paper proposes a model and method to adaptive control the resource flows to optimize the work and cash flows of construction projects. First, a mathematical model based on a partially observable Markov decision process is established to formulate the complex interactions of construction work, resource, and cash flows as well as uncertainty and variability of diverse influence factors. Meanwhile, to efficiently find the optimal solutions, a Deep Reinforcement Learning (DRL) based method is introduced to realize the continuous adaptive optimal control of labor and material flows, thereby optimizing the work and cash flows. To assist the training process of DRL, a simulator based on discrete event simulation is also developed to mimic the dynamic features and external environments of a project. Experiments in simulated scenarios illustrate that our method outperforms the vanilla empirical method and genetic algorithm, possesses remarkable capability in diverse projects and external environments, and a hybrid agent of DRL and empirical method leads to the best result. This paper contributes to adaptive control and optimization of coupled work, resource, and cash flows, and may serve as a step stone for adopting DRL technology in construction project management.

Sustainable building projects gained momentum in the last decade, and the trend continues. It is important to explore the factors affecting the sustainable building delivery process for concentrating on these factors and pace up the sustainability approach. Building information modeling (BIM) has developed as the definitive technology for managing construction projects. BIM technology has features like accuracy and precision that helps in improving the quality of construction. Green building construction methods and Lean construction are the methods that help to improve sustainability and reduce waste generated during construction. In this article, the author would like to propose a methodological framework that comprises BIM, Green building methods, and Lean methods. After implementation author is hoping to optimize resource utilization, monitor, and measure the construction progress and construction payment procedures. The author believes that after the implementation of the framework, a virtual environment is prepared which brings more accountability in resource usage and tracking of project progress. Work also highlights the differentiating aspects of sustainable building projects regarding project phases and makes recommendations about the timing of services, such as value engineering, constructability analysis, technology integration, and construction management. The author considers one case study of a residential building and prepared a 3D model using BIM. Further, the author put lean tools and LEED-based methodology to produce the standard operating procedure for the case study considered. Then, a virtual environment is prepared using the 3D model in BIM, and the methodology is considered. This environment was tested from time to time with the actual execution of the project to claim the validity of the proposed model.