Richao Cong

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Verified

Richao verified their affiliation via an institutional email.

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• Doctor of Engineering
• Lecturer at Shizuoka University of Art and Culture

In the current years, the artificial intelligence (AI) technique has been utilized for waste management due to its higher accuracy. Understanding the future disposal demand of wastewater (WW) and sludge generation accurately is essential for WW treatment and sludge management. This study proposed an AI-based approach to predict the daily demand for...

To support regional decarbonization and achievement of sustainable development goals (SDGs), this study aims to develop a unique optimization framework. An intelligent framework of an energy system was designed in which supplies by renewable energy (RE), grid power, and the storage battery (SB) are optimized from its lifecycle carbon dioxide (CO2)...

One of the crucial prerequisites to realize the goal of carbon neutrality is the integrated energy system (IES) to achieve a net zero emissions target. Energy storage systems(ESSs) provide an effective way to address the volatility and instability of renewable energy systems (RESs). Carbon dioxide (CO2) capture and storage (CCS) technology is an ef...

The promotion of electric vehicles (EVs) can reduce dependency on fossil energy sources and lead to a low-carbon transition in the transport sector. However, the demand for critical metal materials during the manufacturing process of EVs is substantial, and the sustainable supply of resources, as well as the environmental impacts caused by the mini...

In this study, multiple regression analyses on food sales were made by statistical and machine learning models for the shops at the Kitakata Campus and the Hibikino Campus of the University of Kitakyushu. We aim to establish a prediction model of sale amount that contributes to the improvement and reduction of food loss. The data on daily sale amou...

To achieve the net-zero greenhouse gas emissions goal by 2050, it is essential for local municipalities to clarify the current state of renewable energy (RE) development, energy balance, and future development directions. Thus, an optimal energy supply system scheme with a coordination function between municipalities has been designed for Fukuoka P...

This study provided a geographic and technical matching approach supporting low-carbon style recycling systems, demonstrated using polyvinyl chloride waste (PVCW) generated in 2018 in Mie Prefecture, Japan. From a carbon dioxide (CO2) emission basis, mechanical/material recycling (MR) and energy recovery facilities were all allocated full capacity;...

To support regional decarbonization, this study focuses on designing an optimal green energy management system in which renewable energy (onshore, offshore wind power, solar power, and biomass power) are made as prioritized sources to meet the temporal energy demand. The optimization algorithm is applied in the Kitakyushu City of Japan. At first, t...

The Great East Japan Earthquake (GEJE) in March 2011 greatly changed the spatial pattern of energy use in Fukushima Prefecture. The previously nuclear-reliant energy policy has transformed, with energy now generated mainly by fossil fuels and renewable sources. The spatio-temporal variation of fossil fuel use and the major causes of these changes h...

Instead of statistical approaches, artificial intelligence (AI) techniques have been utilized for waste management in many fields owing to their higher accuracy. It provides opportunities to make accurate future predictions of collection demands and detect the optimal collection routes. This study aims to address plastic waste management using AI b...

A clear understanding of plastic waste collection potential in a locality is key to optimize the recycling system in terms of collection and disposal schedules, vehicle deployment, and personnel arrangements. This study aims to fill this gap by predicting individual collection demands of industrial plastic waste (IPW) using an artificial intelligen...

The Japanese government has issued its zero-GHG emission goal by 2050 and a short-term emission mitigation goal for 2030; however, some local communities face difficulties in making detailed mitigation plans. This study provided details on modelling and mapping carbon uptake (i.e., sinks from forest lands) at a high spatial resolution level in Fuku...

Fukuoka Prefecture, Japan, has been heavily affected by COVID-19. Since the first patient reported in February 2020, the total case count has risen to 34,937 as of June 12, 2021. However, the effects of these conditions on industrial plastic waste (IPW) collection and their implications for future trends in this area are still not clear. This study...

The product includes annual total fossil-fuel CO2 emissions from point, line, and area sources at 1x1 km spatial resolution in Tokyo in 2014. The emissions were estimated using a bottom-up approach with detailed activity data including the operating ratios of power plants, load factors of vessels, fossil-carbon contents of waste, emission factors f...

Taking the lessons from the Great East Japan Earthquake (GEJE) occurred in March 2011, the nuclear-reliant energy policy in Fukushima Prefecture has been transformed to other energy (fossil fuel, renewable energy) to make their energy system with better resilience toward the future disaster. As the increased concern on the Global Warming, Fukushima...

Many of the global and regional gridded emission inventories used in atmospheric modeling, especially global and regional gridded emission products, are based on downscaling techniques. Regardless of their limitations compared to locally-constructed mechanistic emission inventories, such gridded datasets will keep a key role of transferring the inf...

Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many cur...

Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many cur...

Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many cur...

Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many cur...

Global warming has become worse and worse as the increasing greenhouse gas (GHG) emissions especially by the main contributor carbon dioxide (CO2). Thus, clarifying the spatiotemporal patterns of CO2 emissions from residential sector is very important for policy makers. To support the GHG mitigation in local area, this study provides a bottom-up fr...

Journal of The Remote Sensing Society of Japan

As the concerns on climate change increased, accurately quantifying the greenhouse gas (GHG) emissions from anthropogenic sources has been emphasized more and more. In this paper, uncertainty analysis is conducted for multiple global GHG inventories from anthropogenic sources to explore the sources and the magnitude of them. We first summarize the...

In this paper, we developed a method on quantifying carbon dioxide (CO2) emissions from each building of Tokyo. And the method basing on bottom-up approach and supplemented with some downscaling efforts that could be applied in any other city of Japan. The high-resolution emission map is achieved by linking the national census data with spatial dat...

As the increasing concern for climate change, quantification on greenhouse gas (GHG) emissions in urban scale has been a key component for local climate actions. To explore an approach on estimating the GHG emissions closely to the real-world condition, in this paper, we make efforts on counting the carbon dioxide (CO2) emissions from road traffic...

With the rapid economic development in China, the amount of plastic waste (PW) generated has greatly increased and much of the waste is currently not treated. To reduce greenhouse gas (GHG) emissions from recycling of PW, we estimated the PW flow and considered methods to improve the household PW recycling system in Tianjin by adjusting processes d...

In recent year, Tianjin Zi'ya industry park the largest dismantling base for waste home appliances in northern China has been built. Howerer, the current household plastic waste (PW) recycling system in Tianjin is in bad situation such as low economic efficiency, bad environmental performance and labor health problems. In practice, the informal mar...