Achieving net zero emissions to ensure a sustainable future has become increasingly urgent in light of climate change. The palm oil industry in Malaysia plays a significant role in the country\'s economy but has faced criticism for its environmental impact, particularly in terms of sustainability and greenhouse gas emissions. While the government has implemented policies and initiatives to promote sustainable palm oil production and reduce emissions, there remains a need for a comprehensive and integrated mitigation strategy to help make an informed decision to improve the performance. To address the limitations of the current framework, this study proposes an Integrated Mitigation Strategy Model which incorporates established frameworks of Palm Oil Mill Carbon Accounting (POMCFA) and Sustainability Index (POMSI). This model has been developed based on the superstructure approach, considering a set of mitigation options to improve weak indicators identified through assessments. The selection of these options is informed by a theoretical review of existing literature on factor changes and their impact on emissions reduction. The model is further validated through case studies, ensuring its robustness and reliability. Based on the case study, it reveals that palm oil mill effluent, diesel consumption, and water consumption contribute the most to carbon dioxide equivalent emissions. In terms of sustainability scoring, the environmental aspect obtains the lowest scores compared to social and economic aspects. Weaknesses identified include dust concentration, palm oil mill effluent, and boiler emissions. Using the heuristics of factor changes equation, the mitigation model suggests implementing high-technology boilers as the optimal solution for these weaknesses. With the theoretical and empirical support behind the choice of variables, our model provides a valuable tool for decision-making in achieving net-zero emissions and sustainable palm oil production.

The development of clean energy and financial sectors have been highlighted as critical factors in tackling climate change and achieving net zero emissions goals. Hence, using a dataset for the top 20 emitter countries from 1990 to 2019, this study examines whether clean energy consumption, financial development, human capital, population, and economic growth are connected with environmental quality through a reduction in carbon emissions. The long-run estimates show that renewable energy utilization, financial development, and human capital are significant in reducing CO2 emissions in the quest for net zero emissions. Contrarily, economic growth and population have a increases CO2 emissions. The results of the causality test show a two-way causality between renewable energy use, financial development, economic growth, population, and CO2 emissions. Moreover, one incidence of unidirectional causality is observed from CO2 emissions to human capital. Based on the findings, policy implications are suggested.

Energy security concerns require novel greener and more sustainable processes, and Paris Agreement goals have put in motion several measures aligned with the 2050 roadmap strategies and net zero emission goals. Renewable energies are a promising alternative to existing infrastructures, with solar energy one of the most appealing due to its use of the overabundant natural source of energy. Photocatalysis as a simple heterogeneous surface catalytic reaction is well placed to enter the realm of scaling up processes for wide scale implementation. Inspired by natural photosynthesis, artificial water splitting\'s beauty lies in its simplicity, requiring only light, a catalyst, and water. The bottlenecks to producing a high volume of hydrogen  are several: Reactors with efficient photonic/mass/heat profiles, multifunctional efficient solar-driven catalysts, and proliferation of pilot devices. Three case studies, developed in Japan, Spain, and France are showcased to emphasize efforts on a pilot and large-scale examples. In order for solar-assisted photocatalytic H2 to mature as a solution, the aforementioned bottlenecks must be overcome for the field to advance its technology readiness level, assess the capital expenditure, and enter the market.

The optimal management of flexible loads and generation sources such as battery storage systems in buildings is often concerned with minimizing electricity costs. There is an increasing need to managed flexible resources in a way that minimises both costs and carbon emissions. Minimising emissions of grid consumed electricity requires quantification of the carbon emissions intensity of the electricity grid, so first we develop a real-time emission intensity model of the Australian National Energy Market using a power-flow tracing approach. This model reveals that electricity price signals currently do not drive consumers toward using electricity at times of lower emissions. For example, the mean and peak emissions intensity during low electricity tariff periods are the same or slightly higher than those during high tariff periods, while the 30-min wholesale electricity price in each region has no significant correlation with the emissions intensity of electricity consumed in that region. The emissions model is then used to investigate the extent to which controlling a battery storage system to minimise costs under existing electricity tariff structures also leads to minimisation of greenhouse gas emissions for a case study commercial office building. Results show that reducing emissions does indeed come at the expense of increasing costs. For example, annual operating cost savings reduced from 31% to 20% when the battery control was changed from minimising costs to minimising emissions. This has important implications for buildings seeking to reduce emissions as well as for the design of electricity tariffs.