The Theory of Complexity : A New Opportunity to Optimize Green Energy Approaches for Achieving Sustainable Development

A. D. Istiadji, G. Hardiman, P. Satwiko
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Abstract

The worse impact of climate change on the life system shows that the implementation of Sustainable Development method has not been optimal yet. For more than two decades, environmentalists have adopted Green Building approach to achieve energy efficiency, resource conservation, highperformance design, and less negative impacts, but this approach seems to solve environmental problems ineffectively. This indicates that the issue lies on the way to see and think of ecology as a system inappropriately. The old ecological approach uses mechanistic-reductionist paradigm with linear and partial thinking, a causal conception running one-way, constituting a method simplifying the problem and offsetting the limitations with such assumptions. Hence facing a complex natural problem, its application has a significantly inadequate probability. Inspired with the successful information system in modeling complex problems, today there is a theory offering holistic, systemic, dialogicsynthesis and non-linear thinking. This approach builds on a new paradigm of viewing and studying modern science with a focus on dynamic network systems providing feedback to achieve the processes adapting constantly to the system evolution. It models the problem close to the real phenomena as well as the broader networks covering more disciplines. Based on these facts, the research was conducted using an intensive literature review method to verify and demonstrate the use of theory called complexity theory in solving ecological problems, particularly for energy in built-environment. The results show that the complexity approach could be used to conduct a more widespread and integrated review process. The theory of complexity described and distributed the existing problems more interactively so that perhaps the current energy problems can be solved more precisely. This approach could be used for optimizing the planning globally, but it must be supported by complete data and big network that can be built based on open system and open source.
复杂性理论:优化绿色能源途径实现可持续发展的新机遇
气候变化对生命系统的影响越来越严重,这表明可持续发展方法的实施还不是最优的。二十多年来,环保人士采用绿色建筑的方法来实现节能、节约资源、高性能设计和减少负面影响,但这种方法似乎没有有效地解决环境问题。这表明,问题在于把生态看作一个系统的方式不恰当。旧的生态方法使用线性和局部思维的机械还原论范式,一个单向运行的因果概念,构成了一种简化问题的方法,并抵消了这种假设的局限性。因此面对复杂的自然问题,它的应用概率明显不足。受成功的信息系统对复杂问题建模的启发,今天出现了一种提供整体性、系统性、对话综合和非线性思维的理论。这种方法建立在一种观察和研究现代科学的新范式之上,其重点是动态网络系统,提供反馈以实现不断适应系统演化的过程。它模拟了接近真实现象的问题,以及涵盖更多学科的更广泛的网络。基于这些事实,本研究采用了密集的文献综述方法来验证和展示复杂性理论在解决生态问题,特别是建筑环境中的能源问题中的应用。结果表明,复杂性方法可以用于进行更广泛和综合的审查过程。复杂性理论对现存问题的描述和分布更为互动,从而可能更精确地解决当前的能源问题。这种方法可以用于全局优化规划,但必须有完整的数据和基于开放系统和开源的大网络作为支撑。
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