The research activities address the concerns for environmental impacts, such as excess release of greenhouse gas emissions, in regards to climate change impacts, eutrophication, human toxicity etc., of bio-systems as well as the potential risk for accumulation of undesirable micro-pollutants, such as Cadmium in bio-fertilizers. We investigate these concerns using state-of-art tools and systemic methodological approach for circular bio-systems to ensure optimal environmental performance and safe production of biobased materials from secondary resources (such as food waste and seaweed).
Life Cycle Assessment (LCA) (or cradle-to-cradle analysis) is a standardized methodology extensively applied for the quantification of the environmental impacts related to products and services. Accordingly, it is used, along with Material Flow Analysis (MFA) and Substance flow analysis (SFA). , which maps the materials in macro (food waste) and micro scale (ex. cadmium). LCA can be combined with input-output data and used as hybrid LCA tool.
Environmentally extended multi-regional input-output (EEMRIO) models is a top-down biophysical or economic model for carrying out comprehensive environmental impact assessments, such as evaluating the carbon, land, and water embodied in traded/consumed products (bio- or fossil-based products) irrespective of where they were produced in the world.
Hybrid-LCA models are built from integrating process-based LCA data within the framework of input-output models in order to increase the product and industry level detail that is often missing in most IO models. They are better suited for environmental impact assessments of physical flows within the economy. They are also applicable to scenario-based analyses that explore the potentials for sustainable local and global value chains for safe and healthy biobased economies.
Impact Pathway Approach (IPA) is a bottom-up-approach in which environmental benefits and costs are estimated by following the pathway from source emissions via quality changes of air, soil and water to physical impacts, before being expressed in monetary benefits and costs.
Ecological Network Analysis (ENA) is a systems-oriented methodology for investigating system interactions including structure, function and dynamics of ecological systems and properties that are otherwise not evident from the direct observations.
STELLA (short for Systems Thinking, Experimental Learning Laboratory with Animation; also marketed as iThink) uses input values for stocks, flows, and converters (functions) and represent the system in graphical or tabular form.
Production and consumption based accounting, that distinguishes environmental assessment on production level (such as emissions from production in Denmark) and on consumption level (such as embedded emission in Denmark’s consumption, which includes necessary production in trade from abroad).
Life-cycle costing (LCC) include all the costs occurring during the lifetime of the product or service, such as purchase price, operating costs, capital cost, end-of-life costs and residual value. It can also include cost of externalities (such as green house has emissions).
Environmental Cost benefit analysis (CBA) is the economic evaluation of policies and projects that have the deliberate aim of environmental improvement or take actions that might affect the environment as an indirect consequence.
Multicriteria decision support investigate the links between socio-economic, and cultural aspects. A special focus is to understand the existing governance framework for organic waste in Europe, with a focus on the introduction of innovative decentralized systems. A subsequent aim is to explore the regulatory barriers for the introduction of emerging technology in the bio-waste sector, and evaluate the need for alternative policy instruments, economic tools, and governance systems to support the transformation of current systems to the decentralized bio-waste management system.
For further information please visit Tools for Complex System Analysis https://prezi.com/view/TLauSRmL9BWLD4Rgvr2i/