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LEARNING PATH · Intermediate

Territorial Bioeconomy

Design bioeconomy systems around place: spatial supply, networks, competing uses, infrastructure, institutions and outcomes.

4 h8 lessonsIntermediate
Start path →
Oblique territorial map with dispersed resources, roads, depots, candidate facilities, river, protected areas, town and grid infrastructure.TBResources → Outcomes

Prerequisites

Bioeconomy 101 or equivalent systems background.

Learning objectives

  • Build a territorial resource-to-outcome problem boundary.
  • Interpret siting, allocation and network models.
  • Distinguish mathematical optimality from deployability.

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Visual roadmap

Lesson sequence

252 min

01Spatial, seasonal and temporal supplyIntermediate · 28 minWhy an annual total cannot describe collection radius, storage pressure, supply reliability or changing land use.02Resource assessment and supply curvesIntermediate · 30 minHow inventories become quantity–cost relationships while retaining sustainability, geography and uncertainty.03Supply chains, transport and storageIntermediate · 30 minThe physical chain between dispersed resources and steady industrial demand shapes cost, losses, emissions and reliability.04Facility siting and infrastructureIntermediate · 30 minA good site aligns feedstocks, utilities, networks, markets, permits, communities and environmental constraints at the required scale.05Resource allocation and competing usesIntermediate · 32 minFinite resources force choices among food, feed, soil, materials, fuels, energy and carbon removal—across actors and time.06LP and MILP for bioeconomy decisionsAdvanced · 36 minLinear and mixed-integer programming translate allocations, capacities, siting and operating choices into explicit variables, objectives and constraints.07Territorial bioeconomyIntermediate · 32 minTerritories connect resource geography, industrial capability, institutions, communities and outcomes within a place-based decision system.08Why optimal is not deployableAdvanced · 34 minA model chooses within its represented world; deployment must survive omitted constraints, uncertainty, actor incentives, timing and implementation.
TOOLS

Related tools

ORNL / U.S. DOE

BioenergyKDF

A discovery portal for U.S. biomass resource data, analyses and bioenergy tools.

Use it when
Where can analysts find documented resource and pathway data?
Limits
Datasets differ in date, resolution and assumptions and must be reconciled before use.
Inputs, outputs & scope
Inputs
Search terms, geography, resource classes and analysis needs.
Outputs
Datasets, metadata, reports and links to analysis tools.
Typical applications
Resource assessments, supply curves, scenario framing and provenance discovery.
Explore the official tool ↗
LBNL / JBEI

BioSiting

A geospatial platform for exploring U.S. bioeconomy resources, infrastructure and candidate sites.

Use it when
What resources and infrastructure surround a candidate facility location?
Limits
A screening map is not a permit, supply contract or deployability decision.
Inputs, outputs & scope
Inputs
Location, buffer radius, resource layers, infrastructure and pathway choices.
Outputs
Mapped inventories, buffer summaries and downloadable spatial data.
Typical applications
Facility screening, resource context and early TEA/LCA framing.
Explore the official tool ↗
Pyomo project

Pyomo

An open-source Python environment for formulating and analysing optimization models.

Use it when
How can decisions, objectives and constraints be represented transparently?
Limits
A mathematically optimal result inherits every omission and bias in the model and data.
Inputs, outputs & scope
Inputs
Sets, parameters, variables, objectives, constraints and a compatible solver.
Outputs
Feasible or optimized decisions, objective values and diagnostic information.
Typical applications
LP/MILP allocation, siting, supply chains, scenarios and multi-objective analysis.
Explore the official tool ↗
U.S. Department of Energy

TECHTEST

A spreadsheet-based early-stage tool combining simplified techno-economic and life-cycle analysis.

Use it when
Which performance factors dominate the potential cost and energy profile of an emerging technology?
Limits
A screening tool does not replace a detailed process design, project finance model or critical review.
Inputs, outputs & scope
Inputs
Technology performance, lifetime, energy and cost assumptions, and a benchmark.
Outputs
Screening-level cost, energy and scenario comparisons.
Typical applications
Early R&D prioritization, benchmark comparison and scenario screening.
Explore the official tool ↗
CASE STUDIES

Examples from Wang Group

2025Deployment

Assessing the Techno-Economic Feasibility of Bamboo Residue-Derived Hard Carbon

Connects regional bamboo-residue supply, process assumptions and discounted cash flow to a deployability question for hard carbon.

2026Conversion

Ambient-pressure conversion of plastic waste to jet fuel cycloalkanes by tandem hydropyrolysis and vapour-phase hydrogenation

A plastic-to-jet-fuel conversion case for separating molecular feasibility from feedstock supply, hydrogen, certification and deployment questions.